5170 Sas Jobs - Page 22

Key Accountabilities: Project Management: Ability to fill Statistical Programming Lead role on projects Input into and negotiate statistical programming timelines. Ensure that timelines are adhered to. Coordinate and lead a statistical programming team to successful completion of a study within given timelines and budget. Monitor project resourcing, project budgets, and identify changes in scope. Coordinate project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Review statistical analysis plans and mock-shells. Review database set-up specifications. Interact with sponsors and internal stakeholders with regard to statistical programming issues. Assist project teams in the resolution of problems encountered in the conduct of their daily work. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce/QC derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings. Produce/QC dataset specifications and other process supporting documents and submission documentation. Ensure quality control (QC) is performed on all process and technical activities related to derived dataset, table, data listing, and figure programming in accordance with corporate quality standards, SOPs/Guidelines, ICH-GCP, and/or other international regulatory requirements. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in and/or lead process/quality improvement initiatives. Provide consultancy to internal and external sponsors with regard to statistical programming tasks. Represent PAREXEL at sponsor marketing and technical meetings. Understand regulatory requirements concerning industry technical standards(e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Proficiency in SAS. Extensive knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Strong project management skills. Strong organizational skills, ability to manage competing priorities, and flexibility to change. Attention to detail. Ability to successfully lead a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Demonstrate commitment to refine quality processes. Good presentation skills. Good business awareness/business development skills (including financial awareness). Knowledge and Experience: Competent in written and oral English. Excellent communication skills. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. #LI-REMOTE

Role: US Healthcare Recruiter Job Location: City Centre F Block, Gmada Aerocity, SAS , Punjab 140306 · U.S Shift Timing: (6:30 PM to 3:30 AM) IST Position Overview: As a US Healthcare Recruiter (Fresher), you will be responsible for supporting our recruitment team in identifying and attracting qualified candidates for various healthcare positions. This entry-level role offers an excellent opportunity to learn the basics of healthcare recruitment. Key Responsibilities: Assist in sourcing potential candidates using job boards, social media, and other recruitment platforms. Screen resumes and conduct initial interviews to assess candidate qualifications. Coordinate candidate interviews and maintain communication throughout the hiring process. Assist in maintaining accurate candidate records and documentation. Support the recruitment team in various administrative tasks as needed. Qualifications: High school diploma or equivalent education required. Strong interest in healthcare recruitment with a desire to learn and grow in the field. Good communication skills, both written and verbal. Ability to work in a team-oriented environment. Detail-oriented with strong organizational skills. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Food provided Work Location: In person

PLEASE DO NOT APPLY ON NAUKRI PORTAL, APPLY ON BELOW LINK https://crowe.wd12.myworkdayjobs.com/External_Careers/job/Noida-Uttar-Pradesh-India/Model-Risk-Senior-Consultant_R-47692 Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: Complete key aspects of client service projects from planning to completion. Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. 4+ years’ of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. Working knowledge of: Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking. Technical knowledge about data processing, data storage, and data visualization. A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. Write and present to clients clear and concise reports and presentations containing meaningful recommendations. Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables and knowledge transfer. Manages engagement to ensure quality and is delivered within budget. Engagements are frequently conducted remotely. This position requires travel up to 30%. Additional skills desired: Solid analytical background and knowledge of econometrics. Knowledge of risk ratings, risk rating /scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus. Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. Experience with database management, such as SQL. Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: C3 India Delivery Centre LLP formerly known as Crowe Howarth IT Services LLP is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Experience range : 3-12 years Location: Gurgaon. One of our Global client is seeking a highly skilled and motivated Credit Risk Modelling Analyst to join their Risk Management team. Key Responsibilities: Model Development: Develop, implement, and maintain credit risk models (PD, LGD, EAD) using SAS and SQL. Data Analysis: Extract, clean, and analyze large datasets to support model development and validation processes. Risk Assessment: Conduct thorough risk assessments and scenario analyses to evaluate the impact of various credit risk factors. Model Validation: Perform model validation and back-testing to ensure the accuracy and robustness of credit risk models. Reporting: Prepare detailed reports and presentations on model performance, validation results, and risk assessment outcomes. Regulatory Compliance: Ensure models comply with relevant regulatory requirements and internal policies. Collaboration: Work closely with cross-functional teams including Risk Management, Finance, and IT to integrate credit risk models into business processes. Documentation: Maintain comprehensive documentation of model development processes, assumptions, and methodologies.

Description Senior Statistical Programmer(SDTM + ADAM + TLF) Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. Job Responsibilities Uses SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Accountable for on-time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions. Works cooperatively with other biostatistics and statistical programming personnel to establish standardoperation procedures (SOPs), guidelines, policies, and/or procedures. Contributes technical expertise to the development of programming tools and macros for standardization and efficiency. When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents. (i.e. DEFINE.XML) When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards. Transfers deliverables. Performs other work-related duties as assigned. Minimal travel may be required Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Require 8+ years of experience in Clinical SAS Programming, Base SAS, Advance SAS. Must have strong experience in SDTM, ADAM & TLF for Safety & efficacy data both. Require eSub experience. Must have study lead experience Excellent written and verbal communication skills. Ability to read, write, speak and understand English. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Position: Risk Examiner (SME – Credit & Operational Risk) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in Risk Assessment, BFSI Sector Preferred Company Description Scry AI is at the forefront of AI-powered decision intelligence platforms designed for Banking, Financial Services, and Insurance (BFSI) enterprises. Our solutions help automate risk assessment, credit evaluation, compliance, and internal audit workflows by combining deep domain knowledge with advanced AI, document processing, and predictive analytics. We are looking for an experienced Risk Examiner to join us as a Subject Matter Expert (SME). This role will help shape intelligent risk management modules across our AI platforms, with a focus on credit, operational, and compliance risk evaluation. Role Overview As a Risk Examiner (SME - Credit & Operational Risk) at Scry AI, you will bring deep expertise in risk identification, assessment frameworks, and regulatory standards to ensure that our AI tools reflect real-world banking and insurance risk processes. You’ll collaborate with product teams to embed risk logic into automated workflows and work closely with clients to align solutions with their governance needs. Key Responsibilities 1. Risk Domain Expertise & Framework Development Provide subject matter expertise across risk categories such as credit, operational, compliance, and reputational risk. Translate regulatory frameworks (e.g., Basel III, SOX, IRDAI norms) into structured workflows for automation. Define field-level data checks, thresholds, red flags, and early warning indicators for risk evaluation. 2. Product Co-Creation & Logic Design Collaborate with product managers and data scientists to define rules for creditworthiness scoring, risk rating models, and exception monitoring. Design templates for risk assessment reports, internal controls, and audit-ready documentation. Validate outputs of AI-based risk engines for accuracy, traceability, and regulatory alignment. 3. Risk Review Automation & Audit Support Support automation of risk review processes for loan files, policy documents, financial statements, and KYC records. Help identify anomalies, policy breaches, or missing documents using AI and document intelligence. Assist with audit trail generation and compliance documentation for enterprise deployments. 4. Client Engagement & Industry Alignment Work with clients to understand their risk governance models and align AI capabilities accordingly. Participate in UAT, feature planning, and requirement gathering for client-specific risk modules. Monitor emerging risk practices, regulatory updates, and benchmarks to evolve product design. Required Qualifications & Skills 3+ years of experience in risk examination, credit analysis, compliance, or internal audit, preferably in BFSI. Deep understanding of risk scoring models, credit risk matrices, operational risk assessments, and controls testing. Familiarity with risk and compliance systems (e.g., SAS, Moody’s RiskCalc, Actimize, RSA Archer). Knowledge of regulatory frameworks (Basel, RBI, IRDAI, SEBI, AML/KYC) and risk rating standards. Experience working with large volumes of financial and operational data. Strong analytical, documentation, and communication skills. Our Ideal Candidate Understands both strategic and operational aspects of risk management. Can bridge the gap between compliance teams and technical product developers. Is motivated to modernize legacy risk processes using AI and automation. Brings a consultative mindset to client engagements. Has a strong attention to detail and passion for structured, auditable systems.

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: Position Summary: The Analyst, Clinical Analytics will be working with a highly-advanced team of Risk and Quality Analysts to develop and maintain reporting capabilities. Roles & Responsibilities: Analyse data, produce reports, and connect model output to client & program operations Become a resource for how risk adjustment applies to various lines of business Identify quality measure opportunities as they relate to different lines of business Quantify and forecast operational returns related to risk adjustment and HEDIS quality measures Work in a collaborative environment with other innovative professionals to design, develop, and maintain best-in-breed risk adjustment and quality reporting solutions that measure and forecast risk scores, forecast quality STARs, monitor suspecting model performance, and identify areas of improvement Use cutting edge analytic tools & techniques like SQL, SAS and python to produce insights to improve our processes and research to share internally and externally. Skill Set Requirements (Mandatory): Bachelor’s degree with either a quantitative major (e.g. actuarial, statistics, economics, engineering, computer science, operations research, applied math) or healthcare major (health administration, public health) 3-5 years of experience in a health analytics, quantitative analyst, or software engineering / programming role Technical skills required in MS office and highly proficient programming skills –SQL, Python and/or SAS. Strong verbal & written skills and excellent communication & presentation skills. Comfortable presenting complex analyses Collaborative working style with the ability to work across different organizations and personalities as well as comfort in a highly matrixed environment Ability to multitask, prioritize, adapt to change, work well under pressure in an entrepreneurial environment, meet deadlines, and manage a project from start to finish Finishing Touches (Preferred): Ability to understand and apply highly technical specifications to healthcare datasets Experience with machine learning concepts such as regression, stratification, etc. Experience applying Medicare, Medicaid, or ACA risk adjustment mode Experience applying Medicare STARS quality measures Academic Qualification: Please list what academic qualifications the candidate must hold (i.e., bachelors, associates, etc.) below: Bachelors is preferred but programming specific associates maybe okay. Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

Career Area: Supply Chain and Logistics Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary Responsible for technical/training support to ensure Parts Distribution and Logistics Division inventory accuracy levels are maintained and improved. This position requires detailed involvement with Cat Parts Inbound, Cat Parts Claims & Returns and the Reconciliation teams. Incumbent will be involved in creating and maintaining training documentation for personnel at different levels including management and salaried processes associated with inventory record accuracy and their importance in overall supply chain management. What You Will Do: Responsible for managing processes to ensure that Cat Parts Division inventory accuracy levels are maintained and improved. Incumbent will reconcile stock record and system discrepancies by analyzing various types of transactions and systems utilizing SPM, SRA and CGM SAP. The incumbent will work closely with other functional areas and meet department goals. Perform and coordinate the historic inventory recovery review process for clients including writing/running SAS programs, and developing reports and tools to make the process efficient. This position requires detailed involvement with Cat Parts clients’ inventory databases. Incumbent will report and document work progress and interact with facility personnel Involvement with the Statistical Test Count (STC) process, investigates and analyzes stock record adjustments completed by Cat Logistics facilities to verify thoroughness, accuracy, determine causal factors, and conducting facility risk assessments Additional Information: Candidate must have working knowledge of the parts distribution network and supply chain management. Candidate must have previous record accuracy experience as well as excellent analytical and interpersonal skills and a strong customer focus. Candidate must have SPM, SRA and CGM SAP expertise Desired Qualifications: Working knowledge of Cat Parts Division Excellent communication skills with the ability to influence a variety of personnel. SAP and SAS program development skills are a plus. Must work US CST 7:00am-4:00pm What You Have Business Acumen: Knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations. Level Working Knowledge: Communicates key considerations for business decision making process. Cites examples of types of information needed to make sound business decisions. Participates in business task to get things done in own unit or area. Caters to key stakeholders and their priorities. Standard Operating Procedures: Knowledge of established standard operating procedures (SOP); ability to design, implement and evaluate standard operating procedures affecting daily and strategic business operations in order to increase operational efficiency. Level Basic Understanding: Compiles current research relevant to standard operating procedures. Explains usage of standard operating procedures in business operations. Describes main issues and considerations when using standard operating procedures. Identifies key features and functions of standard operating procedures. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Data Gathering and Reporting: Knowledge of tools, techniques and processes for gathering and reporting data; ability to practice them in a particular department or division of a company. Level Working Knowledge: Detects and summarizes patterns in data and findings by producing simple reports. Assesses common problems and obstacles surrounding data-gathering. Customizes data fields to meet clients' needs. Interprets and explains results of a data-gathering initiative. Participates in projects to gather data for needs analysis. Inventory Management: Knowledge of processes and methods of inventory management; ability to effectively manage local or distributed inventories of raw materials, work-in-progress and finished goods. Level Working Knowledge: Follows processes to take stock, release inventory or return into processing; resolves discrepancies. Tracks inventory information for a specific product group or location. Works with basic tasks of inventory management for a specific location. Produces basic inventory management reports for senior staff to reconcile the inventory balances. Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of India which can be found through our employment website at www.caterpillar.com/careers. What You Will Get: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date). Final Details: Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status. If you are interested in joining our team, please apply using an English version of your CV. We look forward to meeting you! This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required by employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act. About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Posting Dates: July 25, 2025 - August 7, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

About The Opportunity Job Type: Permanent Application Deadline: 27 July 2025 Job Description Title Data Scientist, Risk Data Analytics Department Risk Data Analytics Hub Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Data Value team and feel like you’re part of something bigger. About Fidelity International Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers worldwide. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $893.2 billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals. Our Global Platform Solutions business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $437 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures for millions of people around the world. Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond. We are committed to being a truly flexible employer, encouraging and trusting our people to perform their role in the way that works best for them, our business, our colleagues and our clients. We offer the maximum possible flexibility over where and when you work for all, considering your role and any local regulations. We call this new approach “dynamic working”. Find out more about what we do, our history, our new approach of “dynamic working“ and how you could be a part of our future at About us | Careers. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelity’s 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 hub's 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 Hub's 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 solutions: Build 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/Master’s 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. Feel rewarded For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s 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. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Job Description RESPONSIBILITIES Strategy Providing a proactive, agile and adaptive Transacting Monitoring Solution that ensures the highest level of compliance in financial crime mitigation. To empower our teams to detect, prevent and proactive risk management using advanced data and analytics, safeguarding our clients and the bank. Business Drive the initiatives as a Product Owner to Design, Develop and deploy various solutions for Transaction Monitoring covering CASA, Trade Fraud and Trade AML, FM Third Party payments and FM AML etc and act as a Point of Contact for assigned AML Transaction Monitoring initiatives. Lead, mentor and manage the GBS teams ensuring alignment with FCSO TM goals and values. Strategically allocate resources to meet operational and project needs, ensuring technical skills are aligned with the deliverables. Support for analytical processes to enhance TM red flag monitoring especially detection scenarios and Optimising cases for investigation through AI/ML models and analytical processes. Improve processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets. Support in design of different scenarios for ML detection, model development and validation including data quality validation, model effectiveness, rules logic for effective risk analytics. Design dashboards and presentations for the senior management and carryout Program management related activity within the Transaction Monitoring Solutions team. Processes The role requires strategic thinking and technical expert with a strong background in financial crime detection and prevention, specifically using advanced analytical methodologies. This role require hands-on expertise to design, develop and deploy analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess leadership and technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and good familiarity with the compliance regulations in financial sector. The role holder is accountable for ensuring a strong connection between the teams and key stakeholders, communication both the technical and operational updates. Knowledge of core banking, payment, CDD, securities and other systems and interplay/linkages between them. Understand business domain aspects relevant to AML Monitoring (MANTAS, Quantexa) and Case Management (ECM). Able to conceptualize, design, support and align relevant processes and controls to industry best practice, and close out any compliance gaps. Mentoring and conducting training programs to bring the new joiners and team up to speed on new business requirements. Provide endorsement for changes or remediation activities impacting TM Solutions. Also engaging with relevant stakeholders for deploying the changes to production Mitigate risks by ensuring robust system configuration, process and monitoring standards Work towards the collective objectives and scorecard of the business function published from time to time in the form of job and performance objectives for defined period People and Talent Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm. Stimulate an environment where forward planning, prioritisation, deadline management and streamlined workflows and collaborative, inclusive yet effective and efficient work practices are the norm. Foster a collaborative and inclusive team culture that emphasizes innovation, accountability and technical excellence. Risk Management Apply Group and FCC policies and processes (AML monitoring) to manage risks. Apply risk and data analytic tools/techniques to optimise and tune relevant detection scenarios, and screening and monitoring optimisation solutions. Provide typology review coverage based on relevant segments/products and validate appropriate monitoring coverage which is fit-for-purpose. Liaise with Business / Segment stakeholders to understand the emanating risks and ensuring those are suitably addressed through the Monitoring coverage. Engage Advisory teams on Product Risk Assessment reviews, outlining transaction monitoring coverage against products and rationale for deviations. Ensure appropriate and valid agreements are in place for consumption of product and segment data for Transaction Monitoring Make recommendations (and support in implementation where required) to relevant stakeholders on possible risk mitigants to identified risks or areas of concerns from TM Solutions Provide Transaction Monitoring subject matter expertise on outcome of AML Risk Identification and Assessment Methodologies Extend support in the implementation of control improvements, enhancements or simplifications proposed by relevant CFCC Advisory functions. Provide guidance in understanding technical and AML detection related aspects of Transaction Monitoring systems pertinent to a country. Collaborate with FCC Advisory teams on determining risk tolerances. Strong interpersonal skills to collaborate effectively with cross-functional teams. Governance Attend relevant business / segment / product related working group meetings. Ensure tracking and remediation of surveillance and investigations related regulatory findings. Report product and segment related matters impacting monitoring in relevant FCC and Upstream Governance Committees Provide regular progress updates on agreed mitigation actions concerning TM Design and Product Issues and enhancements Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. As a people leader contributor to the FCSO TM Solutions to achieve the outcomes set out in the Bank’s Conduct Principles Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key Stakeholders Relevant Business teams – CIB & WRB Business and segment CFCC Advisory teams Group AML RFO / teams ITO Country/Regional FCC teams Audit / Assurance teams Group Model Validation/ Group Model Risk Team Other Responsibilities Embed Here for good and Group’s brand and values in team. Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures. Qualificatio Education Post Graduate degree in Management/Statistics/Mathematics OR Graduate degree in Engineering from a reputed institution. Training 15+ years of hands on experience in Transaction Monitoring with atleast 5 years focussed on financial crime threat mitigation tools and platforms Exceptional analytical, problem-solving, and decision-making abilities with a focus on technical solutions Proficiency in agile methodologies, technical roadmaps, and DevOps practices. Experience as a Product Owner to manage Transaction Monitoring tools to mitigate financial crime risk is essential Experience on Project Management skills and presentation skills is essential. Certifications Certification from the ACAMS - Association of Certified Anti-Money Laundering Specialists or equivalent is preferred. Certification on the Project Management is an added advantage. Languages English Role Specific Technical Competencies Data Science Compliance Advisory Manage Risk Surveillance (Specifically Monitoring) Statistical Modelling/ Machine Learning/ Data Analysis SQL / HQL / Hive / Hadoop scripting and databases such as Oracle and HaaS R / Python / SAS / STATA / C++ / SCALA Programming Strong coding skills in Python, R, SQL and familiarity with data engineering practices for model integration. Familiarity with databases such as Oracle, SQL server Expertise in creating dashboards and reports using tools such as Power BI, Tableau Experience in integrating TM systems with core banking platforms and data warehouses with familiarity of cloud platforms for scalable TM solutions. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term Profile Description Standard Chartered Bank We Offer What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research Expertise: Demonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies Communication: Demonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters Collaboration: Demonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic #NJP

Description ANALYST, MP&A Brand: Victoria's Secret Location: Bangalore, Karnataka, IN Job Area: Information Technology Employment type: Full-time Job ID: 03VK3 Description Analyst Data Analytics Description - External Position Overview The Merchandise Analytics team in Bangalore, India will work with the Merchandise Planning and Assortment team located in Columbus, OH. The team is responsible for applying Statistical Modeling, Advanced Analytics and reporting on the product assortment including inventory positioning by location, pricing, and promotions for the Victoria’s Secret Lingerie, Pink and Victoria’s Secret Beauty brands. The Analyst will be responsible for data coordination and transformation in support of large analytics projects. He / She will collaborate with the data / reporting teams as well as functional partners to coordinate the collection and management of required data. Job Responsibilities Collect, organize, and analyze data related to product assortment, sales, and customer behavior. Use Python / SAS / SQL / Excel & other relevant technologies to deliver analytics, dashboards and automated recurring insights/reports at desired frequency Develop and maintain reports and dashboards that communicate insights and findings to key stakeholders. VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors. Qualifications Qualification Manage intake and transformation of large amounts of raw information in support of advanced analytics. Answer business problems using a mix of Descriptive / Exploratory Analysis and Storytelling using Visualization. Present findings to stakeholders in an easily consumable manner. Bachelor’s degree in science / engineering / computer applications 2-3 years of experience in reporting and analysis / automation preferably in retail product or inventory management S KILLS / E XPERIENCE Strong proficiency in Microsoft Excel, including advanced features such as Power Query for data transformation and automation (Experience with Python integration is a plus). Proficient in SQL, with experience writing complex queries, optimizing performance, and managing relational databases. Hands-on experience with reporting and visualization tools (such as Excel, PowerPoint, Snowflake, MicroStrategy, Tableau, PowerBI or other relevant software solutions). Demonstrate the ability to automate insights / reports using Macros (SAS and Excel VBA) & other relevant technologies. Experience working with large raw data sets and data ETL development including the design and maintenance of data extract, transform and load processes to streamline data collection and management. Attention to detail with a focus on data hygiene and documentation including writing clear specs, data dictionaries and pipeline diagrams. Collaborate with team members to integrate data sources, ensuring data integrity and consistency across the organization.

As a Clinical Database Programmer at ProcDNA, you will play a crucial role in designing the eCRF layout and corresponding database, implementing dynamic rules based on Sponsor requirements, and creating trial-specific Edit Checks. Your responsibilities will also include developing Custom Functions using C# for Rave studies or other EDC systems, incorporating internal and Sponsor feedback, and maintaining eCRFs and components as per protocol amendments or metadata updates. Additionally, you will support CRO trial activities, create reports using JReview, SAS, BOXI, and handle migration processes for Post Go-Live studies. To excel in this role, you must have a deep understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials, and expertise in Critical Data Point Strategy (CDPS) or SDV implementation. Your strong writing, communication, research, and analytical skills will be essential in gathering, interpreting, and synthesizing data accurately. Attention to detail, project management capabilities, and the ability to manage a team are also crucial for success in this position. Ideally, you should be Certified in Medidata Study Builder (SDBE), Oracle - InForm/Central Designer, or Veeva Studio, with a background in Computer Science-based courses or Circuit Branches (B.E./B.Tech, M.Sc./MCA, B.Sc./BCA). Joining ProcDNA will offer you the opportunity to work in a fast-growing consulting firm that is making a real impact in the healthcare sector, collaborate directly with leadership, and contribute to shaping marketing strategies. Currently, we are seeking candidates for this role in Pune, Gurgaon, Bangalore, Kochi, Hyderabad, and Chennai. If you are passionate about database management, dynamic rules implementation, project management, and have a keen eye for detail, this role at ProcDNA could be the perfect fit for you. Apply now and be part of a team that values innovation, collaboration, and excellence in Commercial Analytics and Technology solutions.,

Your journey at Crowe starts here. At Crowe, you can build a meaningful and rewarding career with real flexibility to balance work with life moments. You are trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: - Complete key aspects of client service projects from planning to completion. - Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. - Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: - Bachelor's degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. - 4+ years of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. - Working knowledge of model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). - Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). - Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). - Direct experience performing model validations or model development, including concepts such as backtesting, stress testing, sensitivity testing, and benchmarking. - Technical knowledge about data processing, data storage, and data visualization. - A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. - Write and present to clients clear and concise reports and presentations containing meaningful recommendations. - Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables, and knowledge transfer. - Manages engagement to ensure quality and is delivered within budget. - Engagements are frequently conducted remotely. - This position requires travel up to 30%. Additional skills desired: - Solid analytical background and knowledge of econometrics. - Knowledge of risk ratings, risk rating/scorecard methodology, model governance, model development, CECL, DFAST, CCAR, and capital allocation methodology would be a plus. - Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. - Experience with database management, such as SQL. - Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. - Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what make a great firm. We value our people and offer employees a comprehensive benefits package. How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. More about Crowe: C3 India Delivery Centre LLP, formerly known as Crowe Howarth IT Services LLP, is a wholly-owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting, and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or any other third-party paid service at any time. Any referrals, resumes, or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.,

Job Description: As an Analyst/Sr Analyst for Model Monitoring and Implementation at Northern Trust, you will play a vital role within the Model Strategy & Data Analytics team. Your primary responsibility will be to monitor and implement various models such as PPNR, Credit Risk, Operational Risk, and Market Risk models. This individual contributor role will involve tasks throughout the model lifecycle, including monitoring, recalibration, and implementation. You will also be involved in developing and maintaining monitoring tools using SAS for CCAR, Basel, and CECL purposes. Your key responsibilities will include monitoring, recalibrating, and implementing models such as CCAR models (PD/EAD/LGD), CECL models (PD/EAD/LGD), Basel models (PD/EAD/LGD), operational risk analytics models, and PPNR models. You will evaluate existing monitoring tools, assess development needs, and ensure compliance with different regulations such as CCAR, CECL, Basel, and IFRS9. Additionally, you will conduct analysis, interact with committees and senior management, and provide technical expertise to enhance the overall risk framework. To qualify for this role, you should have a Master's degree in Statistics, Economics, Mathematics, or an advanced degree in a quantitative area. You must possess strong knowledge of BASEL, CCAR, DFAST, CECL, and SR-11/7, along with at least 1 year of hands-on experience in monitoring, validation, or model building. Proficiency in R, SAS, Matlab, advanced Excel techniques, and VBA programming is required, with SAS being preferred. Strong quantitative skills, multitasking abilities, organizational skills, and excellent communication skills in English are also essential. Joining Northern Trust means being part of a flexible and collaborative work culture that encourages movement within the organization and offers opportunities for professional growth. As a company committed to serving the communities it operates in, Northern Trust provides a workplace with a greater purpose. If you are excited about this role and the prospect of working with us, we encourage you to apply today and discuss your flexible working requirements to achieve greater success together.,

You will play a crucial role as the Lead Analytics Consultant in the Data and Analytics Services team at Sun Life. Your primary responsibility will be to create innovative visual analytics solutions that facilitate faster and more informed decision-making processes within the organization. Your expertise will be instrumental in advancing strategic analytics projects that cater to the needs of our business stakeholders. To excel in this role, you should have a minimum of 5 years of experience in Tableau development, including designing dashboards and decision enablement tools. Proficiency in Tableau Desktop and Server platforms, as well as SQL Programming and PL/SQL, is essential. You will be required to showcase your skills by developing a diverse range of design use cases that prioritize user experience and working in an agile development environment. Ideally, you should hold a graduate degree in Mathematics, Computer Science, Engineering, or a related field to qualify for this position. Your responsibilities will involve demonstrating visual design expertise, creating complex calculations, and implementing advanced dashboard practices in Tableau. Additionally, you should be adept at data modeling, performance tuning of Tableau Server dashboards, and designing custom landing pages for enhanced user experience. Your ability to work independently, manage engagements with business partners, and extract meaningful insights from data will be key to your success in this role. Possessing additional skills such as Tableau desktop and server certification, experience with R/Python/Matlab/SAS, and exposure to Agile or design-driven development of analytics applications will be advantageous. If you are passionate about leveraging data and analytics to drive meaningful business outcomes, this role will provide you with an exciting opportunity to make a difference in the lives of individuals, families, and communities around the world.,

As an Associate Managing Consultant in Strategy & Transformation at Mastercard's Performance Analytics division, you will be a part of the Advisors & Consulting Services group specializing in translating data into actionable insights. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions for clients. By utilizing qualitative and quantitative analytical techniques and enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will manage deliverable development and workstreams on projects spanning various industries and problem statements. You will contribute to developing analytics strategies for large clients, leveraging data and technology solutions to unlock client value. Building and maintaining trusted relationships with client managers will be crucial, as you act as a reliable partner in creating predictive models and reviewing analytics end-products for accuracy, quality, and timeliness. Collaboration and teamwork play a significant role in this role, where you will be tasked with developing sound business recommendations, delivering effective client presentations, and leading team and external meetings. Your responsibilities will also include contributing to the firm's intellectual capital, mentoring junior consultants, and fostering effective working relationships with local and global teams. To be successful in this role, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should be adept at analyzing large datasets, synthesizing key findings, and providing recommendations through descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, and SAS, as well as advanced skills in Word, Excel, and PowerPoint, are essential. Effective communication in English and the local office language, eligibility to work in the country of application, and a proactive attitude towards learning and growth are also required. Preferred qualifications for this role include additional experience working with the Hadoop framework, data visualization tools like Tableau and Power BI, and coaching junior delivery consultants. While an MBA or master's degree with a relevant specialization is not mandatory, having relevant industry expertise would be advantageous. At Mastercard, we prioritize information security, and every individual associated with the organization is expected to abide by security policies, maintain the confidentiality and integrity of accessed information, report any security violations or breaches, and complete required security trainings to ensure the protection of Mastercard's assets, information, and networks.,

Job Description This is an exciting opportunity for an experienced industry professional with strong analytical and technical skills to join and add value to a dedicated and friendly team. We are looking for a Data Analyst who is driven by data-driven decision-making and insights. As a core member of the Analytics Team, the candidate will take ownership of data analysis projects by working independently with little supervision. The ideal candidate is a highly resourceful and innovative professional with extensive experience in data analysis, statistical modeling, and data visualization. The candidate must have a strong command of data analysis tools like SAS/SPSS, Power BI/Tableau, or R, along with expertise in MS Excel and MS PowerPoint. The role requires optimizing data collection procedures, generating reports, and applying statistical techniques for hypothesis testing and data interpretation. Key Responsibilities Perform data analysis using tools like SAS, SPSS, Power BI, Tableau, or R. Optimize data collection procedures and generate reports on a weekly, monthly, and quarterly basis. Utilize statistical techniques for hypothesis testing to validate data and interpretations. Apply data mining techniques and OLAP methodologies for in-depth insights. Develop dashboards and data visualizations to present findings effectively. Collaborate with cross-functional teams to define, design, and execute data-driven strategies. Ensure the accuracy and integrity of data used for analysis and reporting. Utilize advanced Excel skills to manipulate and analyze large datasets. Prepare technical documentation and presentations for stakeholders. Candidate Profile Qualifications Qualification: MCA / Graduate / Post Graduate in Statistics or MCA or BE/B.Tech in Computer Science & Engineering, Information Technology, or Electronics. A minimum of 2 years' experience in data analysis using SAS/SPSS, Power BI/Tableau, or R. Proficiency in MS Office with expertise in MS Excel & MS PowerPoint. Strong analytical skills with attention to detail. Experience in data mining and OLAP methodologies. Ability to generate insights and reports based on data trends. Excellent communication and presentation skills. Desired Qualifications Experience in predictive analytics and machine learning techniques. Knowledge of SQL and database management. Familiarity with Python for data analysis. Experience in automating reporting processes. (ref:hirist.tech)

We are looking for Data Engineers with expertise in SAS, Python, and PySpark to support code migration and data migration projects from legacy environments to cloud platforms. This role will entail hands-on experience leveraging EXL’s Generative AI solution named Code Harbor to streamline migration processes, automate code refactoring, and optimize data transformation. The ideal candidate will have 5+ years of relevant experience in IT services, with strong knowledge of modernizing data pipelines, transforming legacy codebases, and optimizing big data processing for cloud infrastructure. Key Responsibilities Code migration from SAS/ legacy systems to Python/ cloud-native frameworks. Develop and optimize enhanced data pipelines using PySpark for efficient cloud-based processing. Refactor and modernize legacy SAS-based workflows, ensuring seamless AI-assisted translation for cloud execution. Ensure data integrity, security, and performance throughout the migration lifecycle. Troubleshoot AI-generated outputs to refine accuracy and resolve migration-related challenges. Required Skills & Qualifications Strong expertise in SAS, Python, and PySpark, with experience in code migration and data transformation. Strong problem-solving skills and adaptability in fast-paced AI-driven migration projects. Excellent communication and collaboration skills to work with cross-functional teams. Education Background Bachelor’s or master’s degree in computer science, Engineering, or a related field. Tier I/II candidates preferred.

We are looking for Data Engineers with expertise in SAS, Python, and PySpark to support code migration and data migration projects from legacy environments to cloud platforms. This role will entail hands-on experience leveraging EXL’s Generative AI solution named Code Harbor to streamline migration processes, automate code refactoring, and optimize data transformation. The ideal candidate will have 2-3 years of relevant experience in IT services, with strong knowledge of modernizing data pipelines, transforming legacy codebases, and optimizing big data processing for cloud infrastructure. Key Responsibilities Code migration from SAS/ legacy systems to Python/ cloud-native frameworks. Develop and optimize enhanced data pipelines using PySpark for efficient cloud-based processing. Refactor and modernize legacy SAS-based workflows, ensuring seamless AI-assisted translation for cloud execution. Ensure data integrity, security, and performance throughout the migration lifecycle. Troubleshoot AI-generated outputs to refine accuracy and resolve migration-related challenges. Required Skills & Qualifications Strong expertise in SAS, Python, and PySpark, with experience in code migration and data transformation. Strong problem-solving skills and adaptability in fast-paced AI-driven migration projects. Excellent communication and collaboration skills to work with cross-functional teams. Education Background Bachelor’s or master’s degree in computer science, Engineering, or a related field. Tier I/II candidates preferred.

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Sr. Software Engineer - Mainframe Job Date: Jun 26, 2025 Job Requisition Id: 61449 Location: Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Mainframe Professionals in the following areas : Primary Skills : Need a resource with below skill set:- Minimum of 3 to 8 years Mainframe experience with COBOL, JCL, DB2, SAS, SQL, IMS DB, IMS DC transactions and screens Experience in Coding, Unit Testing, Quality Testing, and Integration Testing Experience working with Batch and Online environments Experience in root cause analysis of Production issues/Defects and providing Permanent Fix Strong communication and collaboration skills to work with multiple teams Experience working in an Agile environment (working on User Stories/Features and following all Agile Rituals/meetings) Responsibilities: (1) Work with team size of 7 to 8 members. (2) Analyse COBOL code to resolve complicated problems given computer equipment capacity, constraints, operating time, and desired results form. (3)Assist and troubleshoot the current Mainframe environment. (4) Analyze designs, develop and execute custom application features and functions. Interact with integration infrastructure and varied systems (6) Production support activities (7) Extended system support during critical failures Key Scanners: COBOL, DB2, JCL, VSAM, SAS, IMS/DB Primary Skills : Medium to Advanced knowledge of COBOL, JCL, VSAM, DB2, IMS/DB , SAS (Good to have) Creating and maintaining DB2 database objects Development and Support experience should be there. Client interaction skills At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

As a Product Analyst at Landmark Digital, you will play a crucial role in championing data-driven decision-making for the digital function. Your responsibilities will include owning the Ecommerce KPIs of the squad, preparing, monitoring, and reporting them regularly to relevant teams. You will also be tasked with tracking and measuring the incremental value derived from every feature launched by the squad. Your role will involve proactively engaging with product owners to identify high-value impact items on the backlog through data-driven analysis. Additionally, you will interact with business stakeholders to troubleshoot data issues and collaborate with both business and technical teams for quick resolutions. You will lead hypothesis testing of business impact decisions, conduct AB tests for feature launches, and analyze and report their performance regularly. A key aspect of your role will be to deep dive into metrics and issues, present clear recommendations based on data discovery, and collate data from various sources to generate insights for different audience groups, ranging from senior management to tech teams. You will work closely with squads to address any data-related impediments and ensure smooth workflow. To be successful in this role, you should have at least 5+ years of experience in a Product Analyst role within the consumer goods ecommerce sector. You must possess a thorough understanding of customer journeys on ecommerce platforms and be adept at analyzing user funnels, dropouts, conversions, traffic, NPS, reviews, and ratings. Your track record should demonstrate the ability to drive value and influence key business metrics through data-informed product innovation. Proficiency in data analysis tools such as SQL, Big Query, MS Excel Advanced, and Power BI is essential. Experience in data mining, scripting with R/Python, and familiarity with data science and analytics platforms like SAS and Azure Data Bricks will be beneficial. Your communication skills should be top-notch, enabling you to effectively educate stakeholders and motivate them to act on your data-driven recommendations. As a part of the Landmark Digital team, you will work in a dynamic environment where collaboration, innovation, and continuous learning are encouraged. Your role will involve working with cross-functional teams, requiring excellent organizational, time management, analytical, and problem-solving skills. Attention to detail, the ability to prioritize tasks, and meet deadlines will be crucial for success in this position.,

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Institutional Credit Management's (ICM) objective is to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. Institutional Client Group (ICG) In-Business Quality Assurance is an integral part of the ICM organization. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as they relate to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies. This role would ideally be suited to someone who is an analyst within the credit risk analysis unit within the domain of Institutional Wholesale Banking. The ideal candidate will be currently working in 1st or 2nd LOD areas, in roles such as Data Analyst, Credit Analyst, or a Business analyst. This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics. In this role, you're expected to support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance. You will provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICG senior management. You should have the ability to query and clean complex datasets from multiple sources and have deep and hands-on experience in deriving concrete insight from data and qualifying business impact. Additionally, you will develop processes and tools to monitor and analyze model performance and data accuracy, collaborate within IBQA teams and with QA Directors to provide them with analytics insights, provide oversight and guidance over the assessment of complex data-related issues, structure potential solutions, and drive effective resolution with stakeholders, support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings, and support WCR IBQA Voice of the Employee (VOE) as well as diversity and inclusion initiatives. This is a hybrid role requiring office attendance 3 times a week. As a successful candidate, you'd ideally have the following skills and exposure: Analytics and Business: - Good understanding of Underwriting space with experience in Banking and Financial Services Industry. - Relevant years of experience in data analytics, modeling and analytics, internal audit, or similar functions at an investment or large commercial bank. - Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation. Leadership: - Assists colleagues in identifying stretch opportunities to elevate individual and team performance and recognizes individuals based on performance. - Continuous learning and improvement mindset. - Proven culture carrier. Competencies: - Solid organizational skills with the ability and willingness to work under pressure and manage time and priorities effectively. - Written and verbal communication skills, with the ability to communicate clearly and concisely to audiences of varying levels of seniority. - A drive to learn and master new technologies and techniques. - Experience in analyzing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows. - Understanding of process redesign/re-engineering and execution. - Analytical and decision-making capabilities including the ability to identify, escalate, and propose and execute solutions to complex problems. - Experience in preparing presentations for seniors. Technical: - Coding knowledge and experience with at least one programming language (Python & tableau skills or similar tools) will be an advantage. - Proven experience of agile collaborative working. - Experience working with data and deriving insights. Education: - Bachelor's or Master's Degree in Business Administration, Finance, or similar disciplines. - Data Analysis: SQL; Python; SAS; R, Alteryx. - Visualization: Tableau; QlikView; MS Power BI. - Programming language: Python. Global Benefits: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling, and more. Coverage varies by country. We have a variety of programs that help employees balance their work and life, including generous paid time off packages. Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact. Take the next step in your career, apply for this role at Citi today. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

You will be joining EXL, a leading operations management and analytics company dedicated to helping businesses thrive in competitive and disruptive environments. Through our innovative methodologies encompassing advanced analytics, data management, digital solutions, BPO, consulting, industry best practices, and cutting-edge technology platforms, we delve deep to support companies in enhancing global operations, fostering data-driven insights, improving customer satisfaction, and effectively managing risk and compliance. EXL caters to various industries such as insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics, with a team of over 30,000 professionals located across the United States, Europe, Asia (mainly India and the Philippines), Latin America, Australia, and South Africa. In the realm of EXL Analytics, we provide actionable solutions to business challenges through statistical data mining, advanced analytics techniques, and a consultative approach. By utilizing our proprietary methodology and top-tier technology, EXL Analytics adopts an industry-specific strategy to revolutionize clients" decision-making processes and embed analytics deeply into their business operations. Our team of nearly 2,000 data scientists and analysts worldwide support client organizations in diverse areas such as risk minimization, advanced marketing strategies, pricing and CRM techniques, internal cost analysis, and optimizing resources within the organization. EXL Analytics caters to industries like insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics. Your role will involve being a proficient credit risk model professional with expertise in model monitoring, validation, implementation, and maintenance of regulatory models. Some of your key responsibilities will include assisting in various aspects of model risk management in alignment with regulations, conducting essential tests such as model performance evaluations, sensitivity analyses, and back-testing, collaborating with the model governance team on model development and monitoring, liaising with cross-functional teams including business stakeholders, model validation, and governance teams, delivering high-quality client services encompassing model documentation within stipulated timeframes. To excel in this role, you should have a minimum of 2+ years of experience in executing end-to-end monitoring, validation, production, and implementation of credit risk models, particularly CCAR/CECL/IFRS9 regulatory models. You should possess a strong comprehension of credit risk regulatory models, along with expertise in marketing and general analytics problems. Your ability to manage assigned projects efficiently, ensuring accuracy and timely deliverables, as well as training, coaching, and developing team members, will be crucial for success. For qualifications, you should have prior analytics experience (2+ years), preferably in the BFSI sector, with a good understanding of General Analytics and Fraud Analytics. Past experience in roles involving problem-solving and strategic initiatives is advantageous. Proficiency in SAS/SAS macros, Python, or SQL is essential, while hands-on experience in R or any other analytical software would be a plus. Strong problem-solving skills will further enhance your suitability for this role.,