Chubb

Analyst - Actuarial Life Valuation

In short

This role builds and maintains automated actuarial workflows using Python, SQL, and AI/LLM tools for Life Actuarial Valuation (LDTI, IFRS 17) at Chubb's Bengaluru hub, part of a dedicated actuarial innovation team ("HIT Squad"). It requires 2–5 years of Life actuarial experience, 3–5 actuarial exams (SOA/IFoA or equivalent), and strong Python/SQL proficiency with exposure to AI/LLM tooling and actuarial modelling platforms like Prophet or DCS. The job is full-time, hybrid, based in Bengaluru, India.

About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide.
About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We have been officially certified as a Great Place to Work® for the third consecutive year. With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation.
Position Details
•Job Title: Senior Actuarial Analyst – Actuarial Life Valuation
•Function/Department: Life Actuarial
•Location: Bengaluru
•Employment Type: Full time
•Reports To: Life Actuarial HIT Squad Lead
Role Overview: The HIT Squad is CBSI's dedicated actuarial innovation team, focused on standardising, automating, and improving key processes across Life Actuarial Valuation. As an Actuarial Technology expert, you will combine actuarial knowledge with practical technology skills to build automated workflows, support controlled use of AI tools, and develop reusable, auditable solutions that improve efficiency, consistency, and scalability across the offshore valuation team.
Responsibilities
•Process Automation & Workflow Engineering: Design, build, and maintain automated actuarial workflows using Python and SQL to replace manual, error-prone steps with robust, auditable pipelines for data extraction, transformation, validation, and output generation.
•AI/LLM Implementation: Develop and apply AI and large language model tools within actuarial workflows, including automated report generation, assumption change summaries, anomaly detection, and intelligent data checks. Evaluate emerging tools and prototype practical use cases relevant to Life actuarial functions.
•Actuarial Domain Contribution: Apply knowledge of Life actuarial processes, including LDTI valuation, IFRS 17, and experience studies, to ensure automation solutions are domain-correct, audit-compliant, and produce reliable outputs.
•Documentation & Standardization: Build well-documented, version-controlled, reusable code and process documentation. Establish standards so any team member can run, support, and maintain a process without relying on the original author.
•Validation Controls & Checks: Design automated validation checks and reconciliation controls within actuarial pipelines to identify upstream data issues, model errors, and output anomalies before they reach stakeholders.
Skills and Qualifications
•Bachelor's or master's degree in mathematics, economics, Actuarial Science or Statistics.
•3–5 exams from a recognized actuarial institute (SOA, IFoA, or equivalent).
•2–5 years of actuarial experience in a Life insurance context, with exposure to life actuarial valuation (US GAAP LDTI/IFRS17 etc.).
•Working understanding of Life actuarial data flows, upstream-downstream dependencies, and the importance of validation controls within actuarial processes.
•Python and/or SQL proficiency (strongly preferred): ability to write, maintain, and troubleshoot data pipelines and automation scripts.
•Practical exposure to AI/LLM tools (strongly preferred): prompt engineering, API-based integration with genuine curiosity to apply them in an actuarial context.
•Familiarity with actuarial modelling tools (Prophet, DCS, or similar) — particularly how data flows in and out of models.
•Data visualization familiarity (Power BI, Tableau, or Python libraries) — desirable.
•Proficiency in MS Excel and other office applications.
•Strong analytical mindset, attention to detail, and problem-solving orientation.
Why Chubb?
•Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence.
•A Great Place to Work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025.
•Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being.
•Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements.
•Growth and success: As we continue to grow, we are committed to providing employees with the best work experience and career advancement.
Employee Benefits
•Savings and Investment plans: Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease.
•Upskilling and career growth opportunities: Education Reimbursement Programs, Certification programs and access to global learning programs.
•Health and Welfare Benefits: Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

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