Sr. Specialist - Quantitative & Risk Analytics 4D

Sr. Specialist - Quantitative & Risk Analytics Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description Seeking a highly motivated and detail-oriented PPNR Model Development Specialist to support the development, enhancement, and maintenance of Pre-Provision Net Revenue (PPNR) models for a leading banking client. The role involves quantitative modeling of key PPNR components such as net interest income (NII), non-interest income, and non-interest expense to support internal forecasting, stress testing (e.g., CCAR/DFAST), and capital planning. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as PPNR Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: · Model Development: o Design and develop statistical and econometric models for PPNR components, including: o Net Interest Income (NII) o Fee-based income (e.g., deposit service charges, asset management fees) o Non-interest expense (e.g., salaries, occupancy costs) o Apply techniques such as time series modeling, panel data, and regression analysis. · Stress Testing & Forecasting: o Build and maintain models to support CCAR, DFAST, and ICAAP stress testing frameworks. o Generate macroeconomic scenario-based forecasts and sensitivity analyses for PPNR components. · Model Documentation & Validation Support: o Prepare comprehensive documentation in line with model risk management policies and regulatory expectations (e.g., SR 11-7). o Support model validation, audit, and regulatory review by providing technical responses and analytical evidence. · Data Handling & Automation: o Extract, clean, and transform large datasets from internal systems for use in modeling. o Automate model runs, data pipelines, and reporting processes using programming languages and statistical software. · Cross-Functional Collaboration: o Partner with teams across Finance, Treasury, Risk, and Capital Planning to align modeling with business strategy and regulatory needs. o Communicate model assumptions, limitations, and results to technical and non-technical stakeholders. Qualifications we seek in you! Minimum qualifications · Bachelor’s or Master’s degree in Economics, Finance, Statistics, Mathematics, Data Science , or related quantitative field. · Relevant years of experience in PPNR, financial forecasting, or stress testing model development in a banking or financial institution. · Strong understanding of PPNR modeling and capital planning frameworks (e.g., CCAR/DFAST). · Proficiency in statistical modeling tools and languages , such as Python, R, SAS, or Stata. · Experience working with macroeconomic variables and their linkage to PPNR components. · Knowledge of regulatory expectations and model governance practices. Undergraduate degree in Engineering from reputed institutes with courses in Financial Engineering and FRM / CQF certified. Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Lead, train, and mentor junior members in the team, providing guidance, support, and fostering a collaborative and innovative team culture. Conducting in-depth research on existing and emerging policies related to credit risk modelling and contributing to the creation of whitepapers. Researching and contributing to artifacts creation as required in a consulting role. Preferred qualifications Experience in building or enhancing non-interest income/expense models using historical bank data and macroeconomic drivers. Familiarity with capital planning and regulatory reporting platforms. Exposure to machine learning techniques for advanced forecasting or CFA certification is a plus . Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Financial Risk Manager (FRM) - LinkedIn LearningLinkedIn Learning, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Microsoft Certified: Azure Data Scientist Associate - MicrosoftMicrosoft, Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) - MicrosoftMicrosoft, Professional Risk Manager (PRM) - International Business Management Institute (IBMI)International Business Management Institute (IBMI) Required Skills Credit Risk Analytics, Operational Risk Assessment, Risk Analytics, Risk Management Language English (Required), English (Required) Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Quantitative & Risk Analytics Remote Type - Hybrid Work Shift - Day Job (India) Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.