5152 Sas Jobs - Page 20

As a Python Programmer at IQVIA, you will be responsible for contributing as a product expert, analyzing and translating business needs into long-term solution data models. This includes evaluating existing data systems and collaborating with the development team to create conceptual data models and data flows. You will need to understand the distinctions between out-of-the-box features, configuration options, and customization possibilities of base software product platforms, while also considering performance, scalability, and usability factors. Your key responsibilities will involve developing and maintaining data ingestion, data analysis, and reporting solutions specifically for Clinical data. You will work closely with cross-functional teams to identify and address complex data-related challenges. Additionally, you will be expected to create and manage documentation, processes, and workflows related to the Clinical data review process. Troubleshooting and debugging issues related to data ingestion, analysis, and reporting will also be part of your daily tasks. In this role, you will serve as a subject matter expert and stay abreast of new technologies and industry trends to ensure that the solutions you develop are cutting-edge and effective. You should have experience and familiarity with data ingestion and processing capabilities, as well as the ability to apply design thinking principles to prototype and define architectures for extraction, transformation, and loading (ETL) processing. Expert-level programming skills in Python and PL/SQL, SAS, or the ability to read/interpret code and engage expert programmers will be essential. Proficiency in frameworks/libraries like Pandas, Numpy, and version control systems like GitHub is required. Candidates with experience working in GCP and regulated data environments, excellent communication, analytical, and interpersonal skills, and knowledge of Data Science will be preferred. Domain expertise in clinical data management and a fair understanding of CDISC/SDTM mapping standards are expected. Join IQVIA, a leading global provider of clinical research services, commercial insights, and healthcare intelligence, and be part of a team that creates intelligent connections to accelerate the development and commercialization of innovative medical treatments. Help improve patient outcomes and population health worldwide. Learn more about our work at [IQVIA Careers](https://jobs.iqvia.com).,

Dear Candidate, Exciting Opportunity to Work with SAS, a Global Leader in Analytics! Techfer Global Pvt. Ltd. is currently looking for a Data Science Trainer to join our team in Mumbai. As a Data Science & Analytics Trainer, you will be responsible for providing training and mentoring to professionals in the field of data science, machine learning, and analytics. This is a unique opportunity to collaborate closely with SAS, one of the world's leading analytics companies. We are seeking a candidate with at least a Bachelor's degree in Mathematics, Statistics, Computer Applications, Engineering, or Data Science. A Master's or PhD in any of the above fields would be preferred. The ideal candidate should have a minimum of 10 years of experience in a similar role, with a strong focus on training or teaching Python, R, or SAS. Hands-on knowledge of Machine Learning and Data Science tools is essential, along with experience in Python, R, or SAS. While SAS experience is a plus, it is not mandatory. The candidate should be willing to travel for training assignments. We are looking for professionals who are passionate about analytics and education to join our team. If you meet the above requirements and are excited about this opportunity, we look forward to connecting with you soon. Best regards, Techfer Global Pvt. Ltd.,

We are looking for a Lead Business Analyst for Reporting and Analytics role in Ameriprise Bank (BCS Analytics). As a Lead Business Analyst, you will play a crucial role in developing Power BI dashboards, creating complex SQL queries to extract metrics from various data sources, and providing actionable insights for strategic decision-making. You will serve as the primary liaison between the Technology Organization, Businesses, and internal teams while also maintaining and enhancing the existing reporting structure by introducing automation where feasible. Your responsibilities will include designing, developing, and implementing sophisticated Power BI solutions that encompass ETL processes, data models, interactive dashboards, visualizations, and reports that effectively convey key performance indicators and insights. Additionally, you will be involved in creating Excel reports and implementing automation strategies, utilizing advanced data aggregation techniques to summarize data from multiple sources, and ensuring adherence to best practices related to Power BI service. To excel in this role, you should have a Bachelor's degree in computer science, Data Analytics, or a related field along with 5-8 years of experience in data management and reporting. You must possess a strong background in analytics, problem-solving skills, and a minimum of 5 years of hands-on experience in Power BI, Advance DAX functions, and Dashboard designing. Proficiency in SQL/PostgreSQL/AWS Datalake for data manipulation, ad-hoc Queries, and Star Schema design is essential. Moreover, you will be expected to conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement or business growth. Collaborating with cross-functional teams, optimizing data models and queries for performance and efficiency, and documenting business and technical processes are also part of your responsibilities. Ideal candidates will be self-motivated, capable of working independently and in a team environment, possess a high sense of urgency, and adapt well to changing environments. Strong oral and written communication skills are crucial for effective collaboration with stakeholders. Experience in Python or any other programming language, knowledge of SAS and VBA, and familiarity with AWS stack are considered advantageous. Ameriprise India LLP offers a collaborative and inclusive work environment where your contributions are valued. If you are driven, talented, and seeking to work for an ethical company that prioritizes employee well-being, consider joining our team and making a difference in your career and community. This is a full-time position with working hours from 2:00 PM to 10:30 PM in the AWMP&S President's Office within the Business Support & Operations job family group.,

The Business Analytics Analyst 1 is a trainee professional role, requiring a good knowledge of processes, procedures, and systems necessary to carry out assigned tasks. You should have a basic understanding of the underlying concepts and principles relevant to the job. It is essential to have a good understanding of how your team collaborates with others to achieve the area's objectives. Your role involves making evaluative judgments based on factual information and resolving problems by identifying and selecting solutions using acquired technical experience, guided by precedents. Your ability to exchange information concisely and cater to audience diversity is crucial. While the impact on the business is limited, the quality of tasks/services you provide is key, with impact restricted to your own job. Responsibilities: - Assist with solutions & implementations - Perform relatively complex and varied assignments - Demonstrate technical/administrative expertise - Apply specialized functional area skills and basic knowledge - Understand the organization and its policies - Assess risk appropriately when making business decisions, ensuring compliance with laws and regulations, safeguarding Citigroup's reputation, clients, and assets, and upholding ethical standards. Qualifications: - 1-3 years of experience in Analytics - Strong proficiency in SAS, SQL, Python - Exposure to model validation - Problem-solving abilities - Customer service skills - High attention to detail Education: - Bachelor's/University degree or equivalent experience This job description gives an overview of the work performed, with potential for additional job-related duties. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review Accessibility at Citi. You may also refer to Citi's EEO Policy Statement and the Know Your Rights poster for further information.,

Your role at Micron Technology will involve leveraging your expertise in embedded firmware for storage solutions, particularly in the realm of SSD technology. You will be responsible for designing and debugging firmware using assembly and C programming languages. Your knowledge of SSD flash translation layer, wear leveling, and garbage collection will be crucial for this role. Additionally, familiarity with mass storage interfaces like SAS, SATA, and NVMe would be advantageous. You will also be expected to configure and troubleshoot register settings of ASICs in an SoC environment. Your role will require a high level of proficiency in problem recreation, algorithm optimization, ARM development tools, and IDE. As a part of the team, effective communication and multitasking skills will be essential for thriving in the fast-paced environment. Prior experience in team leadership and the ability to supervise junior engineers will be beneficial. Familiarity with test equipment such as oscilloscopes and logic/bus analyzers is considered a plus. Micron Technology is a global leader in memory and storage solutions, driving the transformation of data into intelligence and innovation. With a strong customer focus and commitment to technological excellence, Micron offers a diverse range of high-performance DRAM, NAND, and NOR memory products through its Micron and Crucial brands. The company's innovations empower advancements in artificial intelligence, 5G applications, and data economy across various sectors. For more insights, kindly explore micron.com/careers. If you require assistance during the application process or need accommodations, please reach out to hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and adheres to all relevant labor laws and international standards. Prospective candidates are encouraged to utilize AI tools to enhance their application materials, ensuring accuracy and authenticity in reflecting their skills and experiences. Misrepresentation through AI manipulation will lead to disqualification. Job seekers are advised to verify the legitimacy of any communication claiming to be from Micron by referring to the official Micron careers website.,

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,

As the Senior Director of Marketing and Customer Analytics at Labcorp, you will play a pivotal role in shaping the company's marketing strategies and customer engagement initiatives using data-driven insights. Your responsibilities will include defining and executing Labcorp's long-term marketing analytics strategy, delivering actionable insights to enhance campaign planning and audience segmentation, and championing the use of AI tools for personalized customer engagement. Additionally, you will lead a high-performing team, collaborate with internal stakeholders, and support the development of audience segmentation and marketing measurement initiatives. You will be responsible for building and leading a team of marketing analysts and data scientists to drive global programs, while also creating a supportive and inspiring team culture. Your role will involve developing marketing analytics strategies, establishing key metrics for measuring marketing programs, and collaborating with various stakeholders to leverage data for informed decision-making. You will also lead efforts in campaign analytics, marketing performance, and team development, ensuring that Labcorp maximizes data utilization and drives business growth effectively. To succeed in this role, you should have at least 15 years of experience in analytics, with a proven track record of shaping and executing marketing data strategies in Fortune 500 settings. Strong leadership skills, expertise in advanced analytics and predictive modeling, and the ability to communicate complex analytical findings in a compelling manner are essential for this position. Additionally, experience with data architecture principles, data visualization tools, and proficiency in tools such as Python, R, SQL, Tableau, and Power BI will be beneficial. The ideal candidate for this role is a self-starter with a proactive mindset, capable of working independently as well as collaboratively in a team environment. You should possess strong project management skills, excellent interpersonal communication abilities, and a results-oriented approach to driving data-driven decisions. Prior experience in medical diagnostics, pharmaceutical R&D, or healthcare sectors, as well as a strong understanding of Martech data sources, will be advantageous. Labcorp is an Equal Opportunity Employer and encourages individuals from all backgrounds to apply for this position. If you require assistance due to a disability or need accommodation during the application process, please visit Labcorp Accessibility for support. Your privacy is important to us, and we adhere to strict guidelines for collecting and storing personal data.,

What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments

Responsibilities: Project task management Define project deliverables, controls and ensure adherence to these Supervise and assist the team on project execution and delivery Monitor project progress and ensure adherence to client expectation Communications, including deck writing Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team Delivery of output Facilitation and gathering of client feedback on problem structuring Understand and define business problems, get all background information and collect relevant data points Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget Effective management of frequency of feedback loop with offshore resources Build capabilities in junior team members Technical skills: Experience SAS 9.4 (base and advance) Experience SAS Viya 3.3,3.5 and 4 (base and advance) Experience in migration from SAS EG & SAS Viya: Expertise in converting .EGP file to .Flow in Viya Experienced in scheduling regular backups/restore strategies. Experienced in reading SAS logs to find out root cause issues. Experienced in preparing documentation of Installation and standard operating procedures Scheduling the jobs and monitoring for day-to-day activities, escalating problems to the tech support if any issues arise. Support end-users with access and connectivity issues. Establish a formal, regularly scheduled backup process. Working with Development and Testing teams to prioritize and handle issues to resolve quickly. Extract, transform, and load (ETL) data from various sources into SAS datasets. Perform data quality checks and implement data cleansing and validation procedures. Optimize data processing and storage for efficient performance. Soft skills: Strong work ethic and desire to product quality results Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.) Continuous Improvement mindset and approach to work product Ability to take complex subjects and simplify it to less technical individuals Provides clear documentation of processes, workflows, recommendations, etc. High level of critical thinking capabilities Organized and has the ability to manage work effectively, escalating issues as appropriate Takes initiative & is a self-starter Displays ownership of their work (quality, timeliness) Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant Candidate Profile: Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 4+ years’ experience, preferably in insurance analytics Experience in working in dual shore engagement is preferred Must have experience in managing clients directly Superior analytical and problem solving skills Demonstrated leadership ability and willingness to take initiative Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe

JOB_POSTING-3-72831 Job Description Role Title: Manager, Analytics - H&W Platform (L09) 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 talent. 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 Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Manager, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicable Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Ensure adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 4+ years of hands-on relevant analytics/data science experience. Minimum 2+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Good to have machine learning experience Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Desired Skills/Knowledge Innovative mindset that looks to improve current capabilities and discover new ones Excellent SQL skills Able to manage multiple tasks with conflicting priorities Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 4+ years of hands-on relevant analytics/data science 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 or 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, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Data Analytics

JOB_POSTING-3-72822 Job Description Role Title: Senior Analyst - Analytics, Diversified, Value & Lifestyle (L08) 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 talent. 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 Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Senior Analyst (individual contributor) role is a part of India Analytics Hub (IAH) . Our Analytics team comprises of data analysts who focus on improving customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role will include understanding the request of the business , Extract , transform , validate and visualize large data to address project delivery enabling Synchrony’s growth and profitability. The model candidate must be passionate about data & analytics , knows the story and keen on learning new technologies. Key Responsibilities Leverage Data and Analytical tools to create and track metrics which reflect state of the business Participate and execute on strategic ideas in line with business objectives and project requirements Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Required Skills / Knowledge Bachelor's degree with more than 6 months of relevant Analytics experience Minimum 6 months of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets. Minimum 6 months of experience in leveraging data/analytics to drive strategy with positive outcomes Proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Intellectually curious candidate with a passion for delivering impact in the sales and marketing analytics world Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc Desired Skills / Knowledge 6 months of analytics/data science experience in Financial Services Industry Working knowledge of Python, visualization tools will be a plus Eligibility Criteria BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 0 to 1 years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 2 to 4 years of 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 (First Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible. L8 Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible. L4+ employees can apply for this opportunity. Grade / Level : 8 Job Family Group Data Analytics

Job Description: Role Title : Manager, Analytics Digital Insights (L09) 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 ~51% women 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: ong India s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India s Best Workplaces for Women in 2022. We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore. Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose: Manager, Analytics Digital Insights (individual contributor) role is a part of India Analytics Hub (IAH) and reports to Digital Insights Analytics leader in IAH. The desired candidate is expected to be highly skilled in data & analytics, be Goal Oriented , actively contribute to the delivery of projects focusing on key business priorities and should be able to work independently. This role will include clear understanding of business requirements, ask right questions, build & review prototypes, if needed, work with data to generate actionable insights to address project delivery enabling Synchrony s growth and profitability. The position is remote, where you have the option to work from home. Key Responsibilities: Independently deliver analytics project assignments for several key initiatives such as Mobile Marketing, Expansion of Zeta capabilities and its ongoing maintenance, Automation of Paid Media Lifecycle Campaigns etc. The successful candidate will be responsible for interpreting the different requests, formulating the approach & independently delivering error-free data & insights to the requestors on time. Build a culture of delivering insights instead of data & reports. Deliver strategic insights across diverse open-ended projects. Proactively propose, initiate, independently execute and own strategic projects that create business impact. Acquire proficiency with different data tools, software, techniques to improve current capabilities and to create new analytics and data science solutions. Partner on strategic ideas and POCs targeting revenue growth & larger business adoption. Adherence to timely delivery, accuracy and documentation in line with Audit Procedures. Represent the team in multiple forums with strategic projects and build brand for the team. Follow audit processes, documentation and accuracy guidelines. Responsible and committed to the last mile execution of projects. Required Skills & Knowledge: Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 4+ years of relevant analytics/data science experience. 2+ years of hands-on Experience in SQL /SAS with proven ability to leverage advanced algorithms and be efficient in handling complex/large data 2+ years of experience in BI tools, e. g. Power BI, Tableau, Birst, etc. 2+ years in marketing analytics, with a focus on campaign measurement Good understanding of Digital Metrics & KPIs to analyze performance of digital initiatives 2+ years in building analytics to drive strategy with positive outcomes and measuring impact Ability to solve complex technical and people-oriented problems with minimal supervision Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Strong written/oral communication & stakeholder management skills. Desired Characteristics: Superior thought leadership and framework based solutioning abilities Experience in storytelling, presenting to senior leaders with strong communication skills Innovative mindset that looks to improve current capabilities and discover new ones Experience working with Python and R, preferably in a Linux-based cloud environment such as AWS Experience in mentoring team members with ability to motivate team, drive change, create a culture of learning, innovation and recognition Experience with modeling/forecasting Eligibility Criteria: Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 4+ years of relevant analytics/data science 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. The position is remote, where you have the option to work from home. For Internal Applicants : Understand the criteria or mandatory skills required for the role, before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, PIP) Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are eligible. L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are eligible. L4+ Employees can apply Grade/Level: 09 Job Family Group: Data Analytics

You are a strategic thinker passionate about driving solutions in Data Domain Architect . You have found the right team. As a Vice President in Data Domain Architect, where youll play a strategic role in the rapidly evolving Payments Operations industry. This role offers the opportunity to provide data architecture leadership and strategy within the Strategy, Innovation & Digitization Data team. Youll collaborate closely with product, analytics, and technology teams, making this role perfect for a motivated team member with a passion for data and problem-solving. As a Data Engineer Associate Payment Operations within the Payments Operations organization, you will be responsible for providing data architecture leadership and strategy, and solutions data engineering use cases focused on data analytics, metrics and insights across Payments Operations. This role is ideal for a highly motivated team member with a strong passion for data, problem solving, and domain knowledge as well as strong interpersonal and communication skills. Job responsibilities Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations. Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls. Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models. Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala. Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process. Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm. Work with Tech, Product, and CIB data partners to research, define, and implement use cases. Collaborate closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop/foster new ideas. Required qualifications, capabilities and skills Accumulate 3+ years of relevant work experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer. Hold a minimum of a Bachelor s degree in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject. Exhibit analytical thinking and problem-solving skills coupled with the ability to understand business requirements and communicate complex information effectively to broad audiences. Experience in at least one data technology, such as data warehousing, ETL, data quality concepts, Business Intelligence tools, analytical tools, unstructured data, or machine learning. Utilize common relational database systems, such as Teradata and Oracle, with strong SQL skills. Hands-on experience in cloud platform with Databricks or Snowflake. You are a strategic thinker passionate about driving solutions in Data Domain Architect . You have found the right team. As a Vice President in Data Domain Architect, where youll play a strategic role in the rapidly evolving Payments Operations industry. This role offers the opportunity to provide data architecture leadership and strategy within the Strategy, Innovation & Digitization Data team. Youll collaborate closely with product, analytics, and technology teams, making this role perfect for a motivated team member with a passion for data and problem-solving. As a Data Engineer Associate Payment Operations within the Payments Operations organization, you will be responsible for providing data architecture leadership and strategy, and solutions data engineering use cases focused on data analytics, metrics and insights across Payments Operations. This role is ideal for a highly motivated team member with a strong passion for data, problem solving, and domain knowledge as well as strong interpersonal and communication skills. Job responsibilities Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations. Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls. Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models. Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala. Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process. Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm. Work with Tech, Product, and CIB data partners to research, define, and implement use cases. Collaborate closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop/foster new ideas. Required qualifications, capabilities and skills Accumulate 3+ years of relevant work experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer. Hold a minimum of a Bachelor s degree in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject. Exhibit analytical thinking and problem-solving skills coupled with the ability to understand business requirements and communicate complex information effectively to broad audiences. Experience in at least one data technology, such as data warehousing, ETL, data quality concepts, Business Intelligence tools, analytical tools, unstructured data, or machine learning. Utilize common relational database systems, such as Teradata and Oracle, with strong SQL skills. Hands-on experience in cloud platform with Databricks or Snowflake.

Experience bracket 4+ years. Must Have work experience: In ITSM - Incident, Problem, Change and Service Request Management Knowledge on CMDB. Service Portal - Creation of new pages, widgets Integrations (minimum basic development experience) In Creating scoped applications in ServiceNow Programming skills - JavaScript, HTML, Angular JS Develop existing and custom applications within ServiceNow including integrations with other applications Hands-on experience in Service Catalog/Service Portal modules Design, prototype, implement, test, and deploy business rules, technical solutions, such as client scripts, UI pages/actions/policies, scheduled job, import sets and transform maps, ACLs and notifications Design for and maintain a highly available and recoverable environment Develop custom integration components (SSO, CMDB, SAS connectors etc.) and integrate legacy systems with ServiceNow using mid-server, web services, chatops, email and other relevant technologies Experience in Domain Separation and CSM. CSS, Bootstrap Automated Test Framework. Involve in REST APIs using the Java programming language, Good understanding of JSON and scripting needs

Company: Mercer Description: Create custom data structures and code analyses using SAS (Statistical Analysis Software), under the direction of more senior consultants and administer/analyze standard surveys using established processes. The direction on the appropriate execution of analysis will be given by senior consultants based on current client situation. Leverages previously determined data structures from past projects to create customized SAS code modifications to suit the current client needs, following clear direction. Assist in developing client reports by utilizing pre-existing SAS code to generate client information, such as averages and trends, to populate slide/report templates under direct supervision of more senior consultants. Conduct general and client specific research using internet and internal databases to gather information on client or prospective client business information including acquisition history and business performance as requirde. Coordinate and review client data under the direct supervision of more senior consultants including: tracking what has been received and what is outstanding, identifying issues or discrepancies with data, raising any issues with senior team leaders who in turn raise the issue with the client.

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. As a Market Access Consultant, you will collaborate with cross functional and cross geographic teams to deliver high impact market access, pricing, and contracting insights. You will partner with clients Value & Access, Brand, and Commercial teams to drive data driven decision making through advanced data wrangling, modeling, and real world evidence analyses. This position offers a solid foundation for career growth in Market Access leadership roles. Well trust you to: Design and execute market access projects, including payer landscape assessments, formulary access analyses, deep dives into access barriers, contracting scenario modeling, and contract operations. Extract, clean, and integrate longitudinal datasets (e.g., claims, patient services, formulary data) using SQL and scripting languages (Python/SAS). Leverage real world evidence sources to quantify patient journeys and treatment dynamics from access standpoint. Act as a Market Access subject matter expert, guiding and onboarding Associates and Associate Consultants. Collaborate with internal leadership and client teams to define project objectives, deliverables, and timelines. Present analytical findings and recommendations through compelling slide decks. Develop interactive dashboards and reports in Tableau or Power BI to effectively communicate insights and support stakeholder decision making. Youll need to have: 4+ years in U.S. life sciences consulting, with at least 2 years focused on market access, health economics & outcomes research (HEOR), or a related field. Deep understanding of the U.S. healthcare system, including payer mix (commercial, Medicaid, Medicare) and market access levers (rebates, contracting). Prior exposure to pharmaceutical pricing strategies and contracting negotiations is a plus. Proficiency in data wrangling and ETL tools: Excel, SQL, Python, or SAS. Hands on experience with real world data sources and formulary databases. Strong analytical mindset with meticulous attention to detail. Excellent verbal and written communication, capable of translating complex analyses into clear and intuitive recommendations. Self motivated and highly organized, with the ability to manage multiple projects and deadlines independently. Collaborative team player who thrives in a client facing environment. What you should know: We treat our employees with respect and appreciation, not only for what they do but who they are. We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth. You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project. We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients, but also to becoming leaders in sales and marketing analytics.

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Key Responsibilities: Analyze business requirements and translate them into technical solutions. Design, develop, test, and maintain applications using COBOL, VSAM, DB2, CICS, SAS, JCL Participate in the complete Software Development Life Cycle (SDLC) including requirements gathering, design, coding, testing, deployment, and support. Excellent on LINUX Shell Scripting Collaborate with business stakeholders and project managers in an Agile environment to meet project deadlines and deliverables. Troubleshoot and resolve issues in production environments, ensuring minimal disruption to operations. Maintain and enhance existing applications to improve performance, security, and functionality. Develop and execute unit tests, integrate solutions, and provide detailed documentation. Ensure the highest quality of code and contribute to the overall improvement of the development process. Stay current with emerging technologies, methodologies, and industry trends related to mainframe development. Mandatory Skills and Experience: 5+ years of hands-on experience in Mainframe application development. Strong proficiency in COBOL programming and related tools. Solid experience with DB2 (database design, queries, and optimization). Strong knowledge and hands-on experience with JCL (Job Control Language). In-depth understanding of the Software Development Life Cycle (SDLC) and Agile methodologies. Knowledge on AzureDevOps. Excellent analytical, problem-solving, and debugging skills. Strong communication and interpersonal skills, capable of interacting with stakeholders and team members effectively. Experience working in a corporate banking or financial services environment is a plus. Additional Skills: Familiarity with version control and issue tracking tools (e., Git, Jira). Knowledge of Linux Shell Scripting and Linux Admin Knowledge of ORACLE PLSQL

Data Science Financial Analyst I Description - HQ Strategy & Finance Analytics team provides a unique opportunity to work on projects across HP Inc. You will be part of a team of analytics consultants, technical experts and data scientists within WW HP Inc. as part of the HQ Strategy & Finance Analytics Organization supporting the analytics projects and initiatives within the organization. You will participate in high profile initiatives including analyzing revenue trends, financial and operational metrics, implementing change, and developing frameworks for assessing the organization s progress against its business and financial objectives. You will have the opportunity to work closely with the Finance Leadership/ Business Finance and Business leaders both in the GBU and region teams, and support them with analytically rigorous and pragmatic Business Intelligence solutions. HP is working on several machine learning problems related to financial analytics. We are in the process of setting up a new strategic team that will mine internal financial databases, and build predictive/prescriptive models using data science, advanced statistical tools and Machine Learning algorithms. We are looking for an outstanding Machine Learning Scientist who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. The ideal candidate for this team will be a thinker and a doer: someone who loves sophisticated algorithms and mathematical precision and is motivated by the prospect of spectacular business returns. You will be responsible for Analytics Solutions Development, source and integrate diverse data sets while building business intelligence and analytics models/frameworks to support decisions on focus areas and investments for key initiatives across regions. You will help to mine both internal and external data sources to provide strategic insights and research to enable informed decision making by Finance Leadership and assist in formulation of strategies and recommendations across personal systems, print, and mobility businesses. You will have the opportunity to own and drive projects/initiatives with end to end responsibility, collaborate with some of the best minds in the industry and drive outcomes. Qualifications: PhD in Computer Science, Mathematics or Statistics or, Masters in Computer Science, Mathematics or Statistics from IITs or IISC or Indian Statistical Institute or any other respected foreign universities Skills: 2 to 4 years of industrial experience in predictive modeling and analysis, predictive software development Must have worked on commonly used Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, K-Means, Random Forest etc. Strong Problem solving ability Must have excellent coding skills in Python and knowledge in Hadoop Experience in using SAS, Matlab, or any other statistical software Strong skills in Technology, BI Tools and Technical Development Strong data presentation skills Experience handling gigabyte, larger size datasets and Big Data Experience working with financial data and systems (preferred)

Greeting from Altimetrik We are looking for a highly skilled and experienced Mainframe analyst to join our dynamic team. Technical Skills & Qualifications: As a Client Services Analyst Senior, you will work in a high impact business-unit that provides credit information to financial institutions Strong analytical and problem-solving skills with attention to detail. Proficiency in: Mainframe environments : JCL, TSO/ISPF, VSAM, SDSF, and familiarity with COBOL and DB2. Data tools : SQL (especially in DB2 or similar environments), and SAS for data analysis and reporting. Cloud platforms : Exposure to AWS services (e.g., S3, Lambda, Glue, Redshift) and hybrid data environments. Strong communication skills, both written and verbal. Educational Qualification: Bachelors degree in Engineering or Masters degree . Exp : 5 to 13 yrs Notice period : Immediate joiner or Serving notice period If interested , Please share the below details in mail to reach you Email id :sranganathan11494@altimetrik.com Total years of experience: Experience relevant to Mainframe Analyst: Relevant experience to DB2 : Relevant experience to SAS : Relevant experience to VSAM: Relevant experience to JCL : Knowledge or Exp in AWS : Current CTC : Expected CTC: Notice Period: Highesh Education qualification : Company name: Contact No: Contact email id: Current Location : Preferred Location : Are you willing to work2 days Work from office ( Hyderabad): Thanks R Sasikala

We’re growing our Ford GBS team in our Chennai office and are looking for a Senior Data Analyst SUMMARY: OneMagnify is a one-of-a-kind combination of technology, creative, strategy, data, analytics, and a wide range of marketing services that cut across multiple practice and solution areas to deliver a whole that is truly greater than the sum of its parts. Today’s sophisticated business and marketing landscape requires a fresh, vigilant, and more connected approach to human communications – and we get it. We’re always looking for diverse, passionate, and skilled candidates to join our award-winning work environments. Our offices have been rated Top, Best, and Coolest places to work by numerous sources for multiple years in a row dating back to 2010. In fact, we were recently rated one of the Best and Brightest companies to work for in the nation. Apply today. Show us what you can do. You might be exactly who we need. ABOUT YOU: You have a passion for data, a keen attention to detail and an analytical mindset. You are a problem-solver that enjoys working collaboratively to use data insight to drive business solutions. What You'll Do: Works under guidance of Team Lead and/or Ford supervisors to support client objectives and project goals by developing data-driven and insightful reports, visualizations, dashboards, and communicating results within project lifecycle guidelines, using appropriate programming languages & visualization tools. What You'll Need: Successful candidate must be familiar with solving complex data and analytics issues through data manipulation, analysis, presentation and reporting. She/he will be responsible for multi-tasking between adhoc and project based deliverables. Bachelor/Masters Degree in a technical field is required (computer science, information systems, mathematics, statistics). Knowledge of SQL, Alteryx and Qlikview is required. Familiarity with other related tools such as Qliksense, Hadoop, Teradata, Python, SAS, R or other dahboarding software (Tableau, Spotfire, etc.) will be considered Benefits We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more. About Us Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges. We are an equal opportunity employer We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team We’re growing our Ford GBS team in our Chennai office and are looking for a Senior Data Analyst

Sr Marketing Analyst About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionising how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Sr Marketing Analyst , you will gather, analyse, identify and lead actionable data insights to solve real complex challenges and build the most successful web/mobile gaming platform for millions of players. Your desire to solve analytically complex problems and give your team the winning intelligence is only second to your passion to lead a data-driven organization. You will question and push boundaries to eliminate inefficiencies. You should be a wizard with data, not one who knows how to manipulate it but one who can truly transform it into meaningful actionable insights. Job Location Gurgaon Responsibilities : Leverage complex data algorithms and numerical methods for forecasting, simulation and predictive analysis designed to optimize key decisions and metrics such as retention, engagement, and operations. Analyze consumer data to drive insights into how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas of improvement. Improve Conversion Funnels, Improve Customer Retention Rate Design and own AB tests relating to the acquisition of users and take ownership of impact analysis for those AB tests. Spends analysis and Forecasting Qualifications/Requirements: B. Tech or a bachelor s degree. 3 to 6 years in analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing, and business operations. Experience of at least one statistical and analytic tool, or language expertise in R, Python, SAS, etc. Expertise in analysis algorithms, numerical methods and data tactics used to drive operational excellence, user engagement, and retention. Expertise in at least one visualization platform such as Tableau, QlikView, Spotfire or Advance Excel. Advanced SQL skills will be a must. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions, and partners. Be a part of Junglee Games to: Value Customers & Data - Prioritise customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognising when to evolve to stay ahead Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Know more about us: Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

About the Role: We are looking for a AML Expert Consultant with 20+ years of experience in AML compliance, fraud risk management and financial crime prevention. Requirements: Deep expertise in Actimize, including implementation, tuning, and optimization. Strong understanding of global AML regulations and frameworks (e. g. , BSA/AML, OFAC, FATF, KYC/CDD/EDD). Proven experience leading AML transformation initiatives and regulatory remediation programs. Strong analytical and investigative skills with the ability to interpret complex data and identify suspicious patterns. Excellent stakeholder management skills, including experience working with regulators and auditors. Experience with other AML platforms for example SAS, FICO, Oracle Mantas is a plus. Familiarity with data analytics tools for example SQL, Python, Power BI for AML reporting and insights. Prior experience in banking, fintech or regulatory bodies. #LI-Remote #LI-DN1

Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Minimum 5 years of development and design experience in SAS Understanding of large and complex code bases, including design techniques Minimum 2 years of experience in SAS Fraud Management Implementation Should have knowledge on Java, Microservices, Springboot Technical Skills Good knowledge in SFM- SAS Fraud Management Good knowledge in VI - Visual Investigator Should have strong in SQL Should have good knowledge on API and JSON Understanding of data objects/structures/entities Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Ensure quality of technical and application architecture and design of systems across the organization Effectively research and benchmark technology against other best in class technologies Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management Pls share your resume on grishmaravindrar@valuelabs.com

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________