Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven setting, 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 advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Capital Regime – L&H; Risk Model Validation In this role, support the independent validation and governance of Life & Health risk models within an insurance Internal Model. The role covers mortality, longevity, morbidity/disability, lapse, expense risk and stochastic life cash-flow models. The focus is on reviewing methodologies, calibrations and test evidence, and effectively challenging model-owner results and conclusions. This is a risk and capital modeling role, not a pricing, valuation or reserving position. Responsibilities
• Perform quantitative model validation of Life & Health risk models covering mortality, longevity, morbidity/disability, lapse, mass lapse, expense risk and stochastic life cash-flow models.
• Review model methodologies, assumptions, data, parameter estimation, stress calibration, implementation, limitations and model validation evidence.
• Analyse and effectively challenge first-line model testing results and conclusions,



performing independent testing or deeper analysis where necessary.
• Assess methodologies such as Lee-Carter mortality forecasting, Generalized Linear Models, Maximum Likelihood Estimation, ARIMA forecasting, Actual-versus-Expected analysis, stochastic simulation, stress and scenario calibration, empirical loss distributions, correlation modeling and capital aggregation.
• Evaluate statistical evidence using appropriate techniques such as goodness-of-fit assessment, residual analysis, parameter significance, confidence intervals, sensitivity analysis, stability testing, benchmarking and outcomes analysis.
• Review model-owner and local-entity submissions, applying quantitative expertise and qualitative judgement rather than relying solely on checklist-based assessments.
• Support annual model revalidations, model-change reviews and model validation reporting, including major and minor changes, bug fixes and material model updates.
• Mentoring and QA junior model validators Qualifications we seek in you
• Master's degree or equivalent in Actuarial Science, Mathematics, Statistics, Econometrics, Quantitative Finance or a related quantitative discipline, with typically two to three years of relevant experience.
• Experience across Life & Health risk model families, preferably including mortality, longevity, morbidity/disability, lapse or expense risk. Experience limited primarily to pricing, valuation or reserving is not sufficient.
• Understanding of Lee-Carter models, mortality and longevity forecasting, Actual-versus-Expected analysis, GLMs, MLE, time-series modeling, stress calibration, Monte Carlo simulation, loss distributions, dependency modeling and capital aggregation.



Familiarity with insurance Internal Model validation requirements under Solvency II, or comparable model risk management frameworks such as OSFI E-23, SS1/23, SR 11-7 or successor guidance, and ECB TRIM, is desirable.
• Strong analytical and model-challenge skills, with proficiency in Microsoft Excel and working knowledge of Python or R. An actuarial background is preferred but not mandatory. Why join Genpact?
• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• 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.

📌 Risk Model Validation (Bengaluru)
🏢 Genpact
📍 Bengaluru