JOB_POSTING-3-71059-3 Job Description Role Title: AVP, Credit Model Development Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose A critical new role AVP, Credit Model Development, will be responsible for developing credit models and data governance to support credit loss forecasting models per relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, , DFAST). This is an individual contributor role and requires demonstrated expertise with data mining and statistical analysis, well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS and equivalent advanced softwares / platforms). This successful candidate will use their business analysis, process, and quantitative knowledge to manage multiple initiatives to deliver results within deadlines and with a focus on accuracy and attention to detail. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating these to leadership is essential. This is a great opportunity for a statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture. Key Responsibilities Design and develop consumer credit statistical / econometric models to support production Loss Forecasting, Reserves (CECL), and Stress Testing processes using SAS/Python or R In collaboration with the on-shore team Monitor critical data used in credit loss forecasting models to ensure data quality using SAS/SQL/Python in collaboration with the on-shore team Proactively detect data abnormalities and communicate to relevant parties in a timely manner. Perform pre-implementation and post-implementation validation for various data change proposed by data warehouse owner or model developed team to ensure the impact is accurately assessed, the change is as expected, the implementation is successful. Perform in depth analysis on large data sets and prepare analysis and reports to support discussions on key analytics and model risks. Support building and enhancing data governance procedures and documentation in compliance with regulatory guidance as well as the Bank's model risk policy. Support implementation and monitoring of credit loss forecasting models with good data quality. Proactively manage strong working relationships to maintain on-shore stakeholder satisfaction. Assist in analyzing the current and future model landscape, technologies, data frameworks and implementation platforms in line with internal as well as industry best practices Support data science initiatives / proof of concept in soling business issues through data mining / utilizing new data sources including dark data Maintain current/develop new analytical reports and presentations for senior management, executive committees and regulatory exams Perform other duties and/or special projects as assigned. Required Skills/Knowledge Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6 + years' of relevant experience in an analytical/quantitative role related to consumer lending Technical Skills : Credit card modeling/analytics experience Proven hands-on experience utilizing SAS or SQL data mining skills as well as opensource Tools such as R and Python. Advanced analytics using Excel/BA, strong PowerPoint and documentation skills Ability to manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail Client management and teamwork skills: Strong partnership skills and experience (at least2-4 years) managing relationships across multiple teams of people Communication and influence skills: Excellent communication and influencing skills to coordinate with multiple functional areas Documentation skills: Demonstrated ability in documenting controls and procedures Desired Skills/Knowledge Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations Experience in building/reviewing champion/challenger credit and risk models for consumer loss forecasting Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven and require understanding of data models, process flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams Knowledge of external environment, industry/competitor profiles, and common macroeconomic indicators and correlations Eligibility Criteria Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6+ years' of relevant experience in an analytical/quantitative role related to consumer lending Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criterion or mandatory skills required for the role , before applying Inform your manager and HRM before applying for any role on Workday . Ensure that your professional profile is updated ( fields such as education , prior experience , other skills ) and it is mandatory to upload your updated resume (word or pdf format ) Must not be any corrective action plan (Formal corrective / Final formal , PIP ) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Credit Show more Show less

JOB_POSTING-3-71059-2 Job Description Role Title: AVP, Credit Model Development Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose A critical new role AVP, Credit Model Development, will be responsible for developing credit models and data governance to support credit loss forecasting models per relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, , DFAST). This is an individual contributor role and requires demonstrated expertise with data mining and statistical analysis, well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS and equivalent advanced softwares / platforms). This successful candidate will use their business analysis, process, and quantitative knowledge to manage multiple initiatives to deliver results within deadlines and with a focus on accuracy and attention to detail. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating these to leadership is essential. This is a great opportunity for a statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture. Key Responsibilities Design and develop consumer credit statistical / econometric models to support production Loss Forecasting, Reserves (CECL), and Stress Testing processes using SAS/Python or R In collaboration with the on-shore team Monitor critical data used in credit loss forecasting models to ensure data quality using SAS/SQL/Python in collaboration with the on-shore team Proactively detect data abnormalities and communicate to relevant parties in a timely manner. Perform pre-implementation and post-implementation validation for various data change proposed by data warehouse owner or model developed team to ensure the impact is accurately assessed, the change is as expected, the implementation is successful. Perform in depth analysis on large data sets and prepare analysis and reports to support discussions on key analytics and model risks. Support building and enhancing data governance procedures and documentation in compliance with regulatory guidance as well as the Bank's model risk policy. Support implementation and monitoring of credit loss forecasting models with good data quality. Proactively manage strong working relationships to maintain on-shore stakeholder satisfaction. Assist in analyzing the current and future model landscape, technologies, data frameworks and implementation platforms in line with internal as well as industry best practices Support data science initiatives / proof of concept in soling business issues through data mining / utilizing new data sources including dark data Maintain current/develop new analytical reports and presentations for senior management, executive committees and regulatory exams Perform other duties and/or special projects as assigned. Required Skills/Knowledge Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6 + years' of relevant experience in an analytical/quantitative role related to consumer lending Technical Skills : Credit card modeling/analytics experience Proven hands-on experience utilizing SAS or SQL data mining skills as well as opensource Tools such as R and Python. Advanced analytics using Excel/BA, strong PowerPoint and documentation skills Ability to manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail Client management and teamwork skills: Strong partnership skills and experience (at least2-4 years) managing relationships across multiple teams of people Communication and influence skills: Excellent communication and influencing skills to coordinate with multiple functional areas Documentation skills: Demonstrated ability in documenting controls and procedures Desired Skills/Knowledge Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations Experience in building/reviewing champion/challenger credit and risk models for consumer loss forecasting Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven and require understanding of data models, process flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams Knowledge of external environment, industry/competitor profiles, and common macroeconomic indicators and correlations Eligibility Criteria Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6+ years' of relevant experience in an analytical/quantitative role related to consumer lending Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criterion or mandatory skills required for the role , before applying Inform your manager and HRM before applying for any role on Workday . Ensure that your professional profile is updated ( fields such as education , prior experience , other skills ) and it is mandatory to upload your updated resume (word or pdf format ) Must not be any corrective action plan (Formal corrective / Final formal , PIP ) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Credit Show more Show less

JOB_POSTING-3-71010 Job Description Role Title: AVP, Portfolio Analytics & Product Optimization (L11) ­­­­­ Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recovery – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose AVP, Portfolio Analytics & Product Optimization (Individual contributor) will be responsible to provide end to end analytical support and solutions to PCMs and will also be responsible for providing analytics across key SYF new products and understanding consumer insights and behaviors to optimize SYF product offering strategy. The role involves taking a holistic approach to pulling together “off-us” behavioral characteristics, consumer behavior, credit performance and partner & consumer pricing to ensure we are offering the correct set of products to individual consumers. The position will play a central role in developing data driven product optimization and offering decisioning process helping accomplish our long term strategy of maximizing conversion, penetration, and share of wallet through the introduction of new products. The right candidate for this position will partner with internal functional stakeholders across functions, including Product, Analytics, Credit, Finance, Client teams, and others as needed. The right candidate for this position will be mining datasets to help drive product optimization strategies and recommendations including the utilization of statistical modelling, a variety of analytical techniques and advanced visualization for complex business and technical needs. The position reports into VP, Portfolio Credit Analytics within India Credit Organization. Key Responsibilities Partnering with various PCMs to understand analytic needs and provide insight and recommendations to support portfolio growth and loss mitigation. Ability to solve business problems independently, coordinate and lead credit tasks in cross functional projects. Identify the key trends associated with Portfolios using advanced analytics and help the business to deploy necessary strategies to mitigate credit losses. Lead the development & maintenance of a decision management and analytical optimization framework to drive product strategy targeting in order to increase penetration, customer engagement and overall profitability. Partner with Finance and Client teams to create product P&L performance tool considering product terms and merchant deals idiosyncrasies. Develop enterprise product optimization analytics dashboards across new SYF products. Perform and provide all aspects of analytics for new products implementation programs, accounting for customer experience, conversion, sales, credit and financial performance, payment rates, product cannibalization, product terms, client proformas, etc. Create a product testing strategy, data and analytical visualization tools to read results, learn, improve and repeat. Demonstrate thought leadership by providing critical insights, make recommendations and execute roadmap. Partner with Product organization and implementation teams to understand product distribution platforms, existing product offerings, customer populations and new product roadmap. Analyze and explore datasets in order to find opportunities for product optimization innovation through data analytics. Apply diverse analytical methods and statistical modeling techniques in order to enable state of art analytical decisioning framework. Establish test and control strategies and create metrics to measure/track performance of those strategies. Develop dashboards utilization visualization tools as needed. Work on multiple projects simultaneously and Manage projects independently. Coach analysts in various business/technical aspects, establishing priorities and coordinating work. Investigate and resolve various customer and client issues. Perform other duties, as necessary. Required Skills/Knowledge Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. OR in lieu of a degree, 7+ years of experience in Programming/Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience. 5+ years using statistical analysis tools such as SAS, R, Python to perform data mining and complex statistical analyses. 3+ years leading large-scale analytics projects. Ability to work with large or complex datasets. Strong PC proficiency (Microsoft Suite, including: Word, Excel and PowerPoint). Provide guidance to analysts as needed. Strong self-starter balanced with desire to achieve team goals. Ability to handle sensitive issues with uncompromising integrity and confidentiality. Desired Skills/Knowledge Knowledge of card industry P&L, drivers and assumptions 5+ years demonstrated success developing and delivering analytics solutions. Understanding of credit risk performance, targeting and segmentation, retail analytic tools and advanced skills using Excel and PowerPoint strongly preferred. Excellent communication and presentation skills with experience interacting with all levels of the organization including explaining complex data clear and concisely. Experience developing, testing, documenting and maintaining standardized outcome metrics meeting diverse client needs and delivering via regular data dashboards to reflect business performance. Experience justifying assumptions/inputs and explaining financial models and recommending strategies to varied stakeholder groups. Project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success. Demonstrated ability to apply strategic thinking toward tactical execution. Experience working with cross-functional teams. Eligibility Criteria Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. OR in lieu of a degree, 7+ years of experience in Programming/Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience. Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal) L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible. Employees at L9+ can apply for this opportunity. Grade/Level: 11 Job Family Group Credit Show more Show less

Job Overview HEOR analyst role that contributes to the generation of insights and solutions into ways of improving real-world patient outcomes. Role is focused on projects that will impact decision-making in various health care systems on treatment innovations, care provision and access. Essential Functions Produce materials and services relating to the Health Economics Outcomes Research business areas (health economic modelling, evidence synthesis, statistical analysis, health technology assessment submissions, report and publication development for value communication) that generate value for our clients Engage with large data sets and apply real-world data to health economic decision-support tools Develop your project management skills through client liaison and collaboration with senior project managers Contribute to business development as well as internal initiatives for the advancement of innovative methodological approaches Work closely with a diverse range of peers, project managers Qualifications A degree in science, economics, mathematics, statistics, computer science or another relevant discipline. Strong numeracy and quantitative skills as well as competency using MS Excel and statistical packages (e.g., Stata, R, SAS) Capable of tackling loosely defined problems analytically and applying pragmatic and logical problem-solving skills. Communicative person that values building strong relationships with colleagues and clients and have the ability to explain complex topics in simple terms and in a structured way, both spoken and written. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com Show more Show less

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Responsibilities Job Description Gather and manage data from various sources related to inventory and supply chain. Develop and implement statistical models and techniques to solve complex problems. Apply statistical methodologies to analyze inventory data and identify trends and patterns. Develop predictive models to forecast inventory needs based on historical data and market trends. Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data. Interpret and present data findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to provide statistical insights and recommendations. Qualifications REQUIRED Master's degree in Statistics, Mathematics, Economics, Supply Chain or a related field. Proven experience in statistical analysis and data interpretation in areas specific to Safety stock and Inventory Optimization Skills Proficiency in statistical software such as R, SAS, or SPSS. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of a team. Continuous learning mindset to stay updated with the latest statistical methods and tools. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

Join us as a Data Analytics Analyst This is an opportunity to take on a purpose-led role in a cutting edge Data Analytics team you'll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose you'll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work we're offering this role at associate level What you'll do As a Data Analytics Analyst, you'll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. you'll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible. As we'll as this, you'll be: Working in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes Delivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs Using new tools, technologies and methodologies to carry out advanced analytics Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The skills you'll need we're looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with proficiency in advanced analytics, you'll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling . you'll also have good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes. you'll also demonstrate: Strong knowledge of data management principles Experience of translating data and insights for key stakeholders Knowledge of data engineering, data science and decisioning disciplines Strong communication skills with the ability to engage with a wide range of stakeholders Knowledge of SnowFlake, SQL, Tableau, SAS is required

You will be responding to customer inquiries (voice or other digital communications) for an assigned product(s) within a Technical Support Engineer environment. Provide technical support to Veritas customers, partners, and field support staff with varying levels of support maintenance entitlements ie, entry level, through to premier level entitlements, with focus on diagnosing, troubleshooting, and debugging Veritas software and hardware, including cloud platforms. Position provides an opportunity to continuously develop technical skills through learning and supporting a platform that brings together availability, protection, and insights for our customers. Position requires a motivated, self-starter and self-learner with a customer-first attitude. HOW you'll SPEND YOUR TIME HERE Work with Veritas customers, partners, and field reps by answering technical questions, and providing solutions for Netbackup products, including cloud infrastructures. Resolve cases per productivity, performance and SLA standards and support goals. Research, document, and collaborate on cases as required. Author or update technical documents into Knowledge Management (KM) for inclusion into support knowledge base. Address multiple issues simultaneously, with a case for each issue raised. Establish close interactions with team members and other applicable stakeholders. Assess when it is necessary to engage with team members to enable timely case resolution. Participate in the Technical Support Engineer Process Community Meetings and Innovation Teams, to help improve areas that can have a positive impact to Customer Success. Participate in Product Previews for New Product Releases. Participate in projects and support the Enablement Functions, in addition to lab engagement/management, and UAT testing for various initiatives. Work effectively in a collaborative operating environment, partner with technical support team members. Mentor and assist other technical support engineers (TSEs) in the knowledge of product and processes. Participates in or conduct internal and external hiring interviews. Diagnose technically complex and/or politically sensitive case issues and engage senior team members to resolve. As a support champion, participate in internal projects partnering with internal teams, ie enablement/engineering etc to drive continuous process and product improvement. Develop course content, and TOI material to be delivered to TSEs. Take advancements from team members, work in collaboration to case resolution where applicable. Subject matter expert in one or more areas of product. Interface with Engineering for assistance and collaboration. Participate and/or lead calls with customers and 3rd party teams/vendors. Assess when it is necessary to engage or escalate to senior team members to resolve complex issues. Apply specialized knowledge, analytical practices, and procedures to analyze, diagnose and resolve issues in unique and often complex enterprise environments, on multiply platforms. Research on a wide array of technical subjects such as Operating Systems, Infrastructural Technologies, and Veritas Software Products to continually learn to stay informed of new product features, related applications, hardware, and technologies. Develop documentation for the Technical Support Knowledge Base to reduce troubleshooting time and drive faster issue resolution. Participate in online customer facing forums eg, VOX and internal forums/DLs. Participate in global projects, including identifying and driving product improvements through the appropriate stakeholders. Build in-depth relationships with multiple internal organizations including Product Management, Engineering, QA, Training, Release readiness. Engage and participate in customer visits/POCs. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Experience across multiple of the following core technologies, including desired secondary knowledge. Operating Systems: Linux (Red Hat), Microsoft Windows. System Administration: Server Hardware, Software, maintenance, and troubleshooting. Networking: TCP/IP, TLS, PKI, Firewalls, Routing, VLANs, Link Aggregation (802.3ad, balanced-alb), Authentication (LDAP, Active Directory), DNS, NFS, CIFS. Storage: LVM, RAID, DAS, SAN, NAS, Software-Defined Storage, SAS, Fibre Channel. Diagnostics: Log Analysis, Process Tracing, Debugging, Kernel Panic, Root Cause Analysis. Observability: Application Performance Management, reliability, availability, and serviceability. Infrastructure: Data Center Operations / Management. Veritas product offerings. Additional Knowledge: Working knowledge of the majority of the following. Enterprise Information Systems, Application Servers, and Hardware Infrastructure. Virtualization: VMware, Hyper-V, RHV, Nutanix, and Containers (Docker, Podman). Databases: Microsoft SQL Server / MySQL / PostgreSQL / MongoDB / SQLit / MariaDB Oracle Database IBM DB2 Microsoft Exchange / Microsoft 365 SAP/SAP HANA Informix Sybase Sharepoint Openstack/HBase Hadoop Storage: DAS/NAS/SAN: Switches, Zoning, HBA, SFP, WWN, WWPN, Troubleshooting Cloud: Object Storage (AWS, Azure, GCP) and on-premises disaster recovery solutions Network troubleshooting (ie, Tcpdump/WireShark). Basic familiarity with SaaS, PaaS, IaaS, and APIs. Clustering and High Availability systems. Experience with Shell, Perl, Python, Terraform, Ansible and C / C++ is beneficial.

Join us as a Desk Strategy Associate we're looking for someone with an economics background to join our Trading Flow Sales business you'll be developing strategies to enhance trading or sales opportunities for the business This is a high profile role that offers considerable exposure as we'll as the opportunity to make a significant impact we're offering this role at associate level What you'll do This key role will see you building economic forecasting models and performing statistical analysis of economic data using time series techniques. As such, you'll be analysing market related data, trends and events, and formulating trade ideas or investment opportunities. you'll also be: Assisting with internal and external client requests Tracking macroeconomic data releases and drafting global economic insights for indicators Conducting macroeconomic indicator analysis for the relevant teams Ensuring customer satisfaction by delivering your work on time and to the highest quality Managing projects and initiatives to improve processes The skills you'll need To join us in this role, you'll need to hold an MA in Economics or an MSc in Econometrics. you'll have experience in a research oriented role across economies, together with the ability to summarise and analyse complex data and topics. In addition, you'll bring: Working knowledge of databases such as REviews, Matlab and SAS Good communication and presentation skills Knowledge of databases such as Bloomberg, Haver and CEIC Expertise in Microsoft Office applications Hours 45 Job Posting Closing Date: 26/06/2025

Position Overview Job Title: Risk Portfolio Senior Specialist Corporate Title: AVP Location: Mumbai, India Role Summary Measuring, analyzing, and summarizing risk results for the bank's central credit risk reports - that's our job in CRM Quantification in Enterprise Risk Management Role Description As a Risk Portfolio Senior Specialist you will support the development of our analytics capabilities as well as monitor the development of credit portfolios and their risk parameters. Our team prepares analyses and reports to evaluate portfolio quality and risk concentration and to ensure that the credit risk strategy implementation complies with regulatory requirements and internal guidelines. You will be responsible for production and maintenance of regular / adhoc portfolio reports. Additionally support monitoring the quality of the data used for reporting and highlight, coordinate and resolve data issues to ensure quality of information in the reports What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Production, maintenance, and enhancements of portfolio risk reports including explanation of observations Support data sourcing and quality efforts Engagement with stakeholders to improve credit risk monitoring Organizing and documenting the reports as well as associated processes Initiating and supporting quality improvement measures / projects Your Skills And Experience Strong analytical and quantitative reasoning skills Ability to quickly comprehend complex topics Ideally, a university degree in a quantitative field Ability to work independently as well as in teams Recipient-oriented communication skills. In particular, the ability to explain complex issues in a simple way Solid database understanding/ability to confidently interact with large data pools (SQL) Good knowledge of SAS programming language is desirable. Knowledge of other programming languages like Python, VBA would be an added advantage Sound knowledge of MS Office software programs (esp. Excel and Powerpoint). Strong command of English How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

JOB_POSTING-3-71059-5 Job Description Role Title: AVP, Credit Model Development Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose A critical new role AVP, Credit Model Development, will be responsible for developing credit models and data governance to support credit loss forecasting models per relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, , DFAST). This is an individual contributor role and requires demonstrated expertise with data mining and statistical analysis, well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS and equivalent advanced softwares / platforms). This successful candidate will use their business analysis, process, and quantitative knowledge to manage multiple initiatives to deliver results within deadlines and with a focus on accuracy and attention to detail. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating these to leadership is essential. This is a great opportunity for a statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture. Key Responsibilities Design and develop consumer credit statistical / econometric models to support production Loss Forecasting, Reserves (CECL), and Stress Testing processes using SAS/Python or R In collaboration with the on-shore team Monitor critical data used in credit loss forecasting models to ensure data quality using SAS/SQL/Python in collaboration with the on-shore team Proactively detect data abnormalities and communicate to relevant parties in a timely manner. Perform pre-implementation and post-implementation validation for various data change proposed by data warehouse owner or model developed team to ensure the impact is accurately assessed, the change is as expected, the implementation is successful. Perform in depth analysis on large data sets and prepare analysis and reports to support discussions on key analytics and model risks. Support building and enhancing data governance procedures and documentation in compliance with regulatory guidance as well as the Bank's model risk policy. Support implementation and monitoring of credit loss forecasting models with good data quality. Proactively manage strong working relationships to maintain on-shore stakeholder satisfaction. Assist in analyzing the current and future model landscape, technologies, data frameworks and implementation platforms in line with internal as well as industry best practices Support data science initiatives / proof of concept in soling business issues through data mining / utilizing new data sources including dark data Maintain current/develop new analytical reports and presentations for senior management, executive committees and regulatory exams Perform other duties and/or special projects as assigned. Required Skills/Knowledge Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6 + years' of relevant experience in an analytical/quantitative role related to consumer lending Technical Skills : Credit card modeling/analytics experience Proven hands-on experience utilizing SAS or SQL data mining skills as well as opensource Tools such as R and Python. Advanced analytics using Excel/BA, strong PowerPoint and documentation skills Ability to manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail Client management and teamwork skills: Strong partnership skills and experience (at least2-4 years) managing relationships across multiple teams of people Communication and influence skills: Excellent communication and influencing skills to coordinate with multiple functional areas Documentation skills: Demonstrated ability in documenting controls and procedures Desired Skills/Knowledge Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations Experience in building/reviewing champion/challenger credit and risk models for consumer loss forecasting Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven and require understanding of data models, process flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams Knowledge of external environment, industry/competitor profiles, and common macroeconomic indicators and correlations Eligibility Criteria Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6+ years' of relevant experience in an analytical/quantitative role related to consumer lending Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criterion or mandatory skills required for the role , before applying Inform your manager and HRM before applying for any role on Workday . Ensure that your professional profile is updated ( fields such as education , prior experience , other skills ) and it is mandatory to upload your updated resume (word or pdf format ) Must not be any corrective action plan (Formal corrective / Final formal , PIP ) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Credit Show more Show less

JOB_POSTING-3-71050-5 Job Description Role Title: AVP, Account Management Implementation Design & Development (L11) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviors. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose As an AVP Account Management Implementation Design & Development, you will have the opportunity to work on major business initiatives that contribute to SYF’s growth and productivity objectives. In this role, you will have the responsibility of supporting Fraud & Auth implementation. The role also needs to be driving Tandem projects acting as the product Owner and liaising with the relevant teams. You will work directly with the business, IT and strategy teams in catering to the end-to-end implementation needs. This is a strategic role in India and needs very close collaboration with India Implementation leads to draw synergies across various portfolio/functions. The role will need strong understanding of change management for prioritization of work. Key Responsibilities Support Fraud and Auth strategy implementation and validation, code changes to Auth/fraud implementation platform(s) for Retail Finance credit risk organization. Follow protocols in development and execution (coding, testing and implementing business rules) of credit and fraud prevention strategies. Assurance of six sigma rigor in strategy development, implementation, and monitoring. Develop and support Best-in-class analytic solutions The person would be seen as SME in both Auth and Fraud domains(both technical and functional). The role would be fungible within AMTF function and is expected to deliver on projects. Needs to be the Product Owner of the for the projects as prioritized time to time viz. Tandem. Provide thought leadership in various initiatives/projects(linked to People, Process, Product) and share best practices, lead automation effort Support operational credit team in response to internal and external audit requests Provide direction for the development and maintenance of the company credit policy. Identify new opportunities to reduce losses Work on several different projects simultaneously, of varying complexity and length. Establishing priorities and coordinating work Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered Required Skills/Knowledge Bachelor’s degree with 6+ years’ relevant experience (development in platform experience), or in lieu of a degree, 8+ years of relevant experience (development in platform experience). Strong understanding of Agile framework and experience in PO/Scrum Master will have an added advantage. Strong Technical abilities and hands on experience in strategy implementation platforms like power curve or advance defence. Minimum 1 year of experience using SAS, SQL & Unix, Mainframe, VBA, Excel Demonstrated project management experience with extreme attention to detail, report accuracy, data integrity, and team focus Strong interpersonal and communication skills, including the ability to work effectively with a wide range of end users Ability to work under pressure, meet deadlines, and manage project details while balancing multiple priorities Desired Skills/Knowledge 1+ year relevant experience as a Product Owner role or Scrum Master and strong hands-on understanding of Agile framework. Agile certified MBA/MSc in analytical field. Advance SAS/SQL, COBOL, JCL, Java, C, C++ programming capability/proficiency Exposure to Big Data technologies Eligibility Criteria Bachelor’s degree with 6+ years of relevant experience (development in platform experience), or in lieu of a degree, 8+ years of relevant experience (development in platform experience) Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal) L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L09+ Employees can apply Grade/Level: 11 Job Family Group: Credit Job Family Group Credit Show more Show less

This role involves performing user administration tasks in a Windows Active Directory environment, granting NTFS permissions, and managing Exchange mailboxes. The advantages include enhancing security and compliance, improving productivity, and streamlining access management processes. Our company will benefit from your strong communication skills, versatility, and commitment to excellence. Job Requirements Details Career experience performing user administration in a Windows Active Directory environment Experience in granting NTFS permissions for folders/files in a Windows environment Experience in Exchange administration; creating and maintaining mailboxes, distribution lists, contacts and public folders Experience performing user administration tasks for various in-house and third-party applications Familiarity with Distributed File System (DFS) Basic knowledge of UNIX administration commands Knowledge of and the ability to adhere to SAS and SOX audit requirements pertaining to Identity & Access Management job requirements, obtaining, and documenting required approvals Experience with work-flow management tools (i.e., ServiceNow) Excellent communication skills and exposure to work on Project on tight deadlines. *Commitment to excellence and high standards, strong organizational skills; able to manage priorities and workflow; provide documentation and accountability Versatility, flexibility, and a willingness to work with constantly changing priorities Experience on Windows PowerShell would be added advantage. Pay Range $ 1200000.00 - $ 1500000.00

Provides management direction to database administration team members and manages resource allocations within a matrix managed environment. Leads, and plans the application state-of-the-art database designs to solve complex database processing problems, while considering existing and future needs, capacity and limitations, operating time and form of desired results. Essential Functions Drives, plans and facilitates the design of state-of-the-art data model designs and metadata management to solve complex database processing problems, while considering existing and future needs, capacity and limitations, operating time and form of desired results. Provides application-level data modeling for project development teams. Strong understanding of SQL, SAS, Python or R programming Strong understanding in adoption and implementation of innovative tools leveraging AI & ML, workflow digitization initiative, Real time data ingestion, transformation and review of Data Management ecosystem. Experience in rolling out new roles to implement innovative operations. Creates and maintains enterprise-wide data standards, logical data modeling and leads efforts on assigned data subject areas. Manages the implementation of the global metadata repository and metadata management tools Identifies metadata sources, develops metadata management capabilities, monitors metadata quality, and develops common data definitions. Oversees testing and documentation of the global metadata repository and conducts user interviews to gather metadata requirements to insure business requirements are met. Ensures databases meet required operational standards and performance levels (as measured by reliability, response time, query execution time, etc.). Oversees activities which include: developing data archival schemes, sizing, creation of data definition language and database objects, referential integrity and security enforcement and application optimization. Participates in the administration, monitoring, tuning and support of databases in all development, test, and production environments. Hold at least bi-monthly meetings with direct reports to discuss, at a minimum: project status, including timelines, delivery updates, financial aspects of the group or project, and potential risks, associated mitigation and support required; status of any initiatives that they may be involved in; the teams utilization rates; the direct reports training and other administrative obligations, such as Standard Operating Procedures (SOPs) and corporate training mandates; personnel issues; and career or training objectives. Create and implement plans for measuring and improving employee engagement ensuring global consistency. Maintain open and regular communication with direct reports to ensure a supportive working environment. Efficiently conveying messages from leadership to direct reports and teams, as well as effectively communicating issues and opportunities up to leadership. Might be needed to serve as the designated substitute or alternatively ensure coverage is in place for direct reports during their absence or in case of turnover Prepare, present and respond in bid defense meetings and discussions. May input into more complex requests for information (RFIs) or requests for proposal (RFPs). Liaise with Business Development to give timely inputs regarding the feasibility of all new proposals going out to clients. Contribute at IQVIA internal cross-functional project team meetings interfacing with other functional leads customer project status meetings and oversight group meetings. Subject Matter Expert (SME) Meetings, as appropriate. Qualifications Bachelors Degree Computer Science, life science or related field, or equivalent experience Familiarity with EDC systems, data query tools and CDISC standards. Experience in managing large datasets and interpreting data quality indicators. Requirement: Strong business acumen; financial management and budgeting skills. Proven Staff management skills, strong leadership, motivational and influencing skills. Strong project management; strategic planning; delegation and organisational skills. Proven ability to work on multiple projects and manage competing priorities. Confident in raising and discussing sensitive topics without management intervention and in communicating effectively with senior levels of management in both IQVIA and customer organizations. Demonstrated ability to remain calm and assertive yet diplomatic in more challenging interactions with customers and colleagues. Excellent communication (both verbal and written), presentation and negotiation skills. Ability to establish and maintain effective working relationships with coworkers, direct reports, managers, and customers at a senior level. Autonomous independent decision-making; problem solving and judgment skills Strong customer focus; account and alliance management and experience in customer contracting models. Proven ability to professionally network; present and lead at meetings/ teleconferences. Ability to achieve results through communication, facilitation, negotiations in a matrix service delivery environment with shared responsibilities. Demonstrate excellent flexibility; self-motivation; creativity; innovation and solutions driven approach Demonstrates financial awareness. Promotes good practices to manage financial performance. Strong ownership skills: take initiative and move forward with limited guidance. . We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com

A productive, hands on programmer who applies technical knowledge and practical experience to deliver statistical programming deliverables to support assets and study teams with limited supervision early in role and independently later in role. Ensures excellence in th e programming of analysis ready datasets, tables, listings, and figures for which they are responsible Ensures adherence to high quality programming standards in their daily work. Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports as well as other asset level deliverables they may be programming. Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables. Exhibi ts routine and occasionally complex problem solving skills, seeking direction when appropriate. Works with statisticians and programming leads to ensure clear specifications for their programmed deliverables are in place. Will be knowledgeable in core safe ty standards as well as TA standards pertinent to their project, may aid in development of standards necessary for their study May contribute to department level initiatives. QUALIFICATIONS Bachelor or Master (prefer red) Degree in Statistics, Biological Sciences, IT, or related field. At least 3 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency. Statistical Programming and SAS hand - on experience Clinical trials expertise with an understanding of data operations required for the reporting of clinical trial data. Good understanding of ICH and regulatory guidelines Working knowledge of clinical data and relevant data standards Work Location Assignment: Flexible Work Location Assignment: Hybrid Medical #LI-PFE

Job Description: Business Manager /Account Executive Financial Services Position Summary: We are seeking an experienced and dynamic Sales Specialist to accelerate revenue growth and strategic customer engagement within the Financial Services vertical for Non-Banking Financial Institutions. Leveraging deep industry knowledge and consultative selling, the role will position SAS as a trusted analytics partner. The candidate will support the entire sales cycle, strengthen partner ecosystems, and drive go-to-market and thought leadership initiatives. Key Responsibilities: Drive revenue through customer meetings, strategic sales calls, and high-level executive presentations. Develop impactful sales tools including use cases, proof of concepts, and tailored demos. Create and execute strategies for account penetration and vertical growth. Build and nurture relationships with system integrators, partners, and consultancies. Shape and implement sales strategy addressing Financial Services trends, disruptions, and SAS s value proposition. Contribute to thought leadership via articles, whitepapers, blogs, and speaking engagements. Support sales enablement through partner training and solution workshops. Lead discovery sessions, value demonstrations, and pre/post-sales engagements. Monitor market trends and competitor actions to guide positioning and solution development. Deliver executive-level presentations and solution overviews. Collaborate with leadership on targeting, strategy, and performance objectives. Coordinate across sales, marketing, and product teams for consistent market messaging. Provide insights for product roadmap development based on market and client needs. Establish trusted advisor relationships with key clients and influencers. Frequent travel required for client and partner engagement. Knowledge, Skills, and Abilities: Strong relationships and credibility in the Financial Services sector. Domain expertise in insurance and financial services, with a tech/analytics focus. Effective communicator with experience presenting to C-suite stakeholders. Strong analytical and strategic problem-solving skills. Understanding of decision support and enterprise tech platforms. Self-motivated team player with project management skills. Ability to simplify complex concepts for varied audiences. Confident public speaker and facilitator. Location: Mumbai (Includes Travel) Employment Type: Full-Time Work Experience: 8-10 yrs Reporting To: Head Insurance & Financial Services Vertical Sales This role offers an exciting opportunity to make a strategic impact on SAS s growth within the Financial Services industry. The ideal candidate will bring a strong mix of domain expertise, strategic sales skills, and executive engagement experience. Diverse and Inclusive Additional Information: SAS only sends emails from verified sas.com email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS

Job Title: Associate Technical Support Analyst Location: Pune, India Department: Technical Support Type: Full-Time We are seeking a proactive and passionate Associate Technical Support Analyst to join our Technical Support Operations Command team in Pune, India. This role puts you on the frontline of technical support—managing customer cases, troubleshooting issues, and collaborating with experts across SAS. You’ll be part of a vibrant team where curiosity, continuous learning, and collaboration are core to everything we do. You will work closely with global teams, contribute to product quality, and provide exceptional support for SAS software applications running on multiple platforms. Key Responsibilities Provide end-to-end technical support including troubleshooting, prioritizing, diagnosing, and resolving customer-reported problems. Manage SAS Managed Services cases by coordinating with SAS Cloud Operations and other Technical Support teams. Take ownership of high-priority customer calls and issues, following escalation procedures where needed. Communicate effectively with customers via phone, email, and Microsoft Teams. Document all customer interactions accurately in the tracking system throughout the issue lifecycle. Build expertise in SAS software usage, programming, and relevant third-party tools to help resolve issues and guide product development. Suggest and contribute to proactive materials like SAS Notes, technical documents, and knowledge base content. Participate in a 24x7x365 on-call rotation and work flexible shifts as per business needs. Stay up to date on competitor tools, industry best practices, and how SAS products integrate with other software. What We’re Looking For A highly motivated problem solver with a passion for helping others. Someone who thrives in a collaborative environment and enjoys learning every day. A curious and creative thinker with excellent research skills. Comfortable managing multiple tasks under pressure with attention to detail. Able to write clearly and communicate technical ideas in simple, user-friendly language. Required Qualifications Bachelor’s degree or equivalent combination of education, training, and experience. 0–5 years of experience in technical support or a related field. Strong grasp of at least one operating system (Windows, UNIX, or Linux), with familiarity across all. Excellent written and verbal communication skills in English. Proven ability to collaborate with teams and interface with customers effectively. Prior experience with complex software support, projects, internships, or technical documentation is a plus. Nice To Have Exposure to SAS language, procedures, or similar analytics tools. Experience validating software fixes or reviewing technical documentation. Familiarity with support tools (e.g., ticketing systems like ServiceNow). Desire to mentor others or contribute to internal training content. This role is perfect for someone who is service-oriented, technically curious, and ready to grow in a fast-paced, global technical environment. If that sounds like you — we’d love to hear from you! Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. Additional Information SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS Show more Show less

Provides management direction to database administration team members and manages resource allocations within a matrix managed environment. Leads, and plans the application state-of-the-art database designs to solve complex database processing problems, while considering existing and future needs, capacity and limitations, operating time and form of desired results. Essential Functions Drives, plans and facilitates the design of state-of-the-art data model designs and metadata management to solve complex database processing problems, while considering existing and future needs, capacity and limitations, operating time and form of desired results. Provides application-level data modeling for project development teams. Strong understanding of SQL, SAS, Python or R programming Strong understanding in adoption and implementation of innovative tools leveraging AI & ML, workflow digitization initiative, Real time data ingestion, transformation and review of Data Management ecosystem. Experience in rolling out new roles to implement innovative operations. Creates and maintains enterprise-wide data standards, logical data modeling and leads efforts on assigned data subject areas. Manages the implementation of the global metadata repository and metadata management tools Identifies metadata sources, develops metadata management capabilities, monitors metadata quality, and develops common data definitions. Oversees testing and documentation of the global metadata repository and conducts user interviews to gather metadata requirements to insure business requirements are met. Ensures databases meet required operational standards and performance levels (as measured by reliability, response time, query execution time, etc.). Oversees activities which include: developing data archival schemes, sizing, creation of data definition language and database objects, referential integrity and security enforcement and application optimization. Participates in the administration, monitoring, tuning and support of databases in all development, test, and production environments. Hold at least bi-monthly meetings with direct reports to discuss, at a minimum: project status, including timelines, delivery updates, financial aspects of the group or project, and potential risks, associated mitigation and support required; status of any initiatives that they may be involved in; the teams utilization rates; the direct reports training and other administrative obligations, such as Standard Operating Procedures (SOPs) and corporate training mandates; personnel issues; and career or training objectives. Create and implement plans for measuring and improving employee engagement ensuring global consistency. Maintain open and regular communication with direct reports to ensure a supportive working environment. Efficiently conveying messages from leadership to direct reports and teams, as well as effectively communicating issues and opportunities up to leadership. Might be needed to serve as the designated substitute or alternatively ensure coverage is in place for direct reports during their absence or in case of turnover Prepare, present and respond in bid defense meetings and discussions. May input into more complex requests for information (RFIs) or requests for proposal (RFPs). Liaise with Business Development to give timely inputs regarding the feasibility of all new proposals going out to clients. Contribute at IQVIA internal cross-functional project team meetings interfacing with other functional leads customer project status meetings and oversight group meetings. Subject Matter Expert (SME) Meetings, as appropriate. Qualifications Bachelors Degree Computer Science, life science or related field, or equivalent experience Familiarity with EDC systems, data query tools and CDISC standards. Experience in managing large datasets and interpreting data quality indicators. Requirement: Strong business acumen; financial management and budgeting skills. Proven Staff management skills, strong leadership, motivational and influencing skills. Strong project management; strategic planning; delegation and organisational skills. Proven ability to work on multiple projects and manage competing priorities. Confident in raising and discussing sensitive topics without management intervention and in communicating effectively with senior levels of management in both IQVIA and customer organizations. Demonstrated ability to remain calm and assertive yet diplomatic in more challenging interactions with customers and colleagues. Excellent communication (both verbal and written), presentation and negotiation skills. Ability to establish and maintain effective working relationships with coworkers, direct reports, managers, and customers at a senior level. Autonomous independent decision-making; problem solving and judgment skills Strong customer focus; account and alliance management and experience in customer contracting models. Proven ability to professionally network; present and lead at meetings/ teleconferences. Ability to achieve results through communication, facilitation, negotiations in a matrix service delivery environment with shared responsibilities. Demonstrate excellent flexibility; self-motivation; creativity; innovation and solutions driven approach Demonstrates financial awareness. Promotes good practices to manage financial performance. Strong ownership skills: take initiative and move forward with limited guidance.

Job Description: Business Manager /Account Executive Financial Services Position Summary: We are seeking an experienced and dynamic Sales Specialist to accelerate revenue growth and strategic customer engagement within the Financial Services vertical for Non-Banking Financial Institutions. Leveraging deep industry knowledge and consultative selling, the role will position SAS as a trusted analytics partner. The candidate will support the entire sales cycle, strengthen partner ecosystems, and drive go-to-market and thought leadership initiatives. Key Responsibilities: Drive revenue through customer meetings, strategic sales calls, and high-level executive presentations. Develop impactful sales tools including use cases, proof of concepts, and tailored demos. Create and execute strategies for account penetration and vertical growth. Build and nurture relationships with system integrators, partners, and consultancies. Shape and implement sales strategy addressing Financial Services trends, disruptions, and SAS s value proposition. Contribute to thought leadership via articles, whitepapers, blogs, and speaking engagements. Support sales enablement through partner training and solution workshops. Lead discovery sessions, value demonstrations, and pre/post-sales engagements. Monitor market trends and competitor actions to guide positioning and solution development. Deliver executive-level presentations and solution overviews. Collaborate with leadership on targeting, strategy, and performance objectives. Coordinate across sales, marketing, and product teams for consistent market messaging. Provide insights for product roadmap development based on market and client needs. Establish trusted advisor relationships with key clients and influencers. Frequent travel required for client and partner engagement. Knowledge, Skills, and Abilities: Strong relationships and credibility in the Financial Services sector. Domain expertise in insurance and financial services, with a tech/analytics focus. Effective communicator with experience presenting to C-suite stakeholders. Strong analytical and strategic problem-solving skills. Understanding of decision support and enterprise tech platforms. Self-motivated team player with project management skills. Ability to simplify complex concepts for varied audiences. Confident public speaker and facilitator. Location: Mumbai (Includes Travel) Employment Type: Full-Time Work Experience: 8-10 yrs Reporting To: Head Insurance & Financial Services Vertical Sales This role offers an exciting opportunity to make a strategic impact on SAS s growth within the Financial Services industry. The ideal candidate will bring a strong mix of domain expertise, strategic sales skills, and executive engagement experience. Diverse and Inclusive At SAS, it s not about fitting into our culture it s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it s essential to who we are. To put it plainly: you are welcome here. Additional Information: SAS only sends emails from verified sas.com email addresses and never asks for sensitive, personal information or money.

About Delta Tech Hub: Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers. Responsibilities: Gather and transform large sets of raw data into well-built integrated data assets using SQL, SAS, AWS Glue or other emerging technologies Write, validate and performance-tune complex SQL queries Recommend, build, and monitor robust and extensible data models that capture the business performance from a customer experience lens Support data quality testing along critical check points to surface data anomalies Be the expert in critical IFEC data assets and support data documentation Develop visualizations in Power BI and occasionally support data science teams with exploratory data analysis and KPI development Support the IFEC Analytics, Performance, & Tech team members with best practices on SQL, AWS, Power BI and other systems Minimum Qualifications: Bachelor’s degree in computer science, data science, engineering, mathematics, or statistics 3-6 years of relevant work experience Expert in SQL, strong experience in Python. Proficient with Power BI and advanced data visualization High attention to detail, solution-oriented and capable of meeting or exceeding deadlines in a fast-paced environment Embraces diverse people, thinking, and styles Consistently makes safety and security, of self and others, the priority Preferred Qualifications: Working knowledge of statistical/machine learning tools (e.g., R, scikit-learn) Prior experience with Delta or other airline or Hospitality data a plus Self-motivated and take pride in building great products for key stakeholders Resourceful in finding the data and tools you need to get the job done Not afraid to ask for help when you need it or help teammates when they need a boost Data processing tools such as Glue (or SAS) Show more Show less

About the Opportunity Job TypeApplication 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelitys data for business and client insights and working as one voice with the business, technology, and data teams. The teams vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity Internationals Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholders stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What you’ll do for us… Demonstrate thorough knowledge of industry best practices, business processes, o9’s solutions, technical architecture, and value proposition. Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows. Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem. Be the single point of contact for any platform level upgrade/patch/hot fix. Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems. Create and execute workflow and data analytics test-cases. Work on bugs/issues and track progress at resolving issues using support tool. Support Super User and End User training, for a global user base. Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. What you’ll have… Experience: 2+ years of experience with implementing planning applications is a MUST. Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability to clearly articulate your view point to manage and deliver to customer expectations, even under pressure. Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. What we’ll do for you… Competitive salary and benefits. High growth organization - very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials. If you’re in the office, feel free to join these events in person. Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us. Work Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared More about o9…. o9 Solutions is one of the fastest-growing enterprise SaaS companies in the world today. As per the last public disclosure, o9 was valued at approximately $3.7B. Our mission is to digitally transform planning and decision-making for small and large enterprises. We have a high-energy, values driven, people centric culture that focuses on being the most valuable partner to our clients. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, NIKE, Walmart, AB-InBev, Starbucks, Danone, Caterpillar, Toyota and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Bangalore, Tokyo, Seoul, and Sao Paulo. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, color, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law More about us… With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law. Show more Show less

The Program Management Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities: Supports planning, directing and coordination of day-to-day activities of running a program or portfolio of programs. Assists with business case, review business requirements, gap analysis, feasibility study in long term benefit, requirement and solution review with stakeholders. Finalizes the project plan with stakeholders and track closely for successful project delivery. Implements advanced strategies for gathering, reviewing and analyzing data requirements. Meets with end users to understand business needs, write requirements, conduct walk throughs on requirement documents and obtain Project Sponsor, Product and Operations approvals. Reviews Functional Requirements to Business Requirements to ensure Technology has understood and met the end users’ needs/expectations. Prioritizes requirements and create conceptual prototypes and mock-ups. Partners with Technology, Product and Operations Management Teams to prioritize delivery of key projects. Masters strategic business process modeling, traceability and quality management techniques. Applies best practices for effective communication and problem-solving. Successfully compete for the most sought-after business analyst jobs. Leads team of business analysts and testers to achieve on-time and with-quality production delivery dates for system enhancements for multiple Cash projects. Collaborates with Technology on any project delays, risk assessment and risk mitigation plans. Performs project Status reporting to Project Stakeholders, Product and Operations Partners. Prepare Post project MIS, lessons learned and conduct continuous process improvement reviews. Understand the bank environment and compliance and regulatory requirements. Work with regional and global team and implement the best standards across teams. Ensure creation of program plan and charter benefits management plan, stakeholder management plan, acceptance plan, and central program issue log. Evaluates subordinates' performance and makes recommendations for pay increases, promotions, terminations, and other personnel actions. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5-8 years of experience managing or participating in projects and teams within the finance and 2 years in a professional management role Education: Bachelor’s/University degree or equivalent experience About Citi: Citi is a leading global bank with a vast customer base and operations in over 160 countries. We provide a wide range of financial products and services to consumers, corporations, governments, and institutions. Our core activities revolve around safeguarding assets, lending, facilitating payments, and providing access to capital markets. About Procurement and Third-Party Management (P&TPM): P&TPM plays a critical role in procuring products and services for Citigroup while managing the associated risks of third-party relationships. This includes overseeing outsourced arrangements across all business lines and locations. We define and implement policies and standards to assess and manage these risks, ensuring that third parties provide services safely, soundly, and cost-effectively. About the Role: We are seeking a highly motivated and detail-oriented individual to join our International Third-Party Management team in the Middle East and Africa (MEA) Cluster. This role will be instrumental in overseeing and managing third-party relationships, ensuring compliance with internal policies and regulatory requirements. What you will do: This role offers a unique opportunity to contribute to the robust Third-Party Risk Management (TPRM) framework within Citi's MEA Cluster. You will play a crucial role in ensuring compliance with internal policies, regulatory requirements, and industry best practices. Your responsibilities will encompass: Governance Oversight: Driving Compliance: Ensure effective adherence to local and global third-party risk management regulations, policies, and standards across the MEA Cluster. Supporting Governance Forums: Provide active support to Cluster and Country Third Party Governance Forums, facilitating communication and provision of Key Risk indicator and Risk Profiles materials. Stakeholder Management: Collaborate closely with stakeholders across the MEA Cluster, including country-level teams, to ensure alignment with the TPM framework and address any compliance gaps. Issue Escalation: Proactively identify and escalate potential risks and compliance issues to relevant stakeholders, including Country Management, In-Business Risk, Third Party Officers, and Business Activity Owners. Risk Management: Monitoring & Analysis: Continuously monitor Key Risk Indicators (KRIs) to identify emerging third-party risks. Conduct thorough root cause analyses to understand underlying issues and develop effective mitigation strategies. Collaboration with Business Units: Partner with business units, including senior leadership like the Chief Country Officer and Head of Operations, to assess the broader impact of identified risks and implement corrective action plans. Process Enhancement: Critically evaluate existing TPM practices and identify opportunities for improvement. Lead initiatives to enhance standards, procedures, controls, and governance processes, ensuring the ongoing sustainability and optimization of the TPRM program across MEA. Advisory & Support: TPM Policy Guidance: Provide expert guidance and support to country business teams on interpreting and implementing Third Party Risk Management policies, regulations, and local procedures. Regulatory Change Management: Stay abreast of evolving regulatory landscapes and partner with country teams to assess the impact of regulatory changes on third-party relationships. Audit & Regulatory Exam Support: Collaborate with internal and external stakeholders, including Independent Operational Risk Management, Compliance, Internal Audit, and Regulators, to facilitate audits, regulatory examinations, and information requests. Transformation Initiatives: Actively participate in and contribute to the execution of Third-Party Management Transformation Program initiatives as directed by Global programs. What we need from you: Experience: 5-8 years of proven experience in managing or participating in projects and teams within the finance sector, with at least 2 years in a professional management role. Risk and Control Expertise: Strong Business Risk and Controls knowledge, preferred knowledge of Third-Party Risk Management frameworks, risk management methodologies, and relevant regulatory requirements. Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities, with a keen eye for identifying root causes and developing practical solutions. Detail-oriented approach and a structured, logical problem-solving mindset. Communication & Collaboration: Exceptional interpersonal and communication skills, with a proven ability to build strong relationships across functions and influence stakeholders at all levels. Governance & Compliance: Solid understanding of governance frameworks and experience in supporting audits and regulatory reviews. Proactive & Adaptable: Proactive, self-driven, and capable of effectively managing multiple priorities in a fast-paced, dynamic environment. Technical: Strong MS Excel, MS Access, SAS, SQL, Visual Basic a plus. ------------------------------------------------------ Job Family Group: Project and Program Management ------------------------------------------------------ Job Family: Program Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases. The FP&A Statistical Modeler Intmd Analyst is an intermediate level position, part of FP&A Model Development team which is responsible for developing econometric time-series models to project balance sheet and income statement for different products / businesses / geographies within the firm to support CCAR and QMMF. Responsibilities: Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics. Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance. Development of Benchmark models using Industry data series to meet regulatory requirements Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams. Responsible for understanding changes to quantitative requirements published by MRM in Model Testing Guidance and presenting the key changes to senior model development leads. Also, be a champion in addressing observations raised by MRM and Internal Audit in a quantitative manner by thinking out-of-box. Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback. Contribute to stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their sign-offs on Champion models. Qualifications / skill sets: 4-6 years of relevant statistical /business experience in financial services Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration. Understanding of Machine learning algorithms will be a plus Hands-on experience in programming and modeling using SAS, Python and R is preferred. Follow a culture of accountability and strict quality control of the data integrity and modeling process Ability to build key relationships with finance and business teams Must be able to present technical matters in a way that is meaningful to the audience Education: Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less