Senior Analyst II - Data & Analytics, Actuarial Life
Role Overview
Senior Analyst – Life Actuarial Data Analytics in the Actuarial function, reporting to the CBSI Head of Actuarial Data Insights & Solutions.
The role delivers actuarial analytical activities, mainly for Life experience studies, actuarial reports, and recommendations to Chubb Life business units.
The position is listed as full-time and located in Bengaluru.
Key Skills for This Role
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About Chubb
Chubb is a global insurance company operating in 54 countries and territories, with commercial and personal property and casualty, accident and health, reinsurance, and life insurance businesses.
Chubb India describes a digital transformation focus and a team of more than 2,500 professionals.
Position details
Senior Analyst – Life Actuarial Data Analytics in the Actuarial function, reporting to the CBSI Head of Actuarial Data Insights & Solutions.
The role delivers actuarial analytical activities, mainly for Life experience studies, actuarial reports, and recommendations to Chubb Life business units.
The position is listed as full-time and located in Bengaluru.
Responsibilities
- Oversee valuation data flows for valuation analytical activities across APAC markets.
- Own models for experience studies, SoE, Actual vs. Expected models, and related analyses.
- Prepare reconciliations and controls; analyse impacts and explain financial-result movements across actuarial activities.
- Support actuarial data mapping and change management with central data administration.
- Provide accurate and timely financial reports and help implement internal controls for precise reporting.
- Maintain version controls and comprehensive process, data, model, assumption, analysis, and audit documentation.
Qualifications
- Bachelor’s or Master’s degree in Mathematics, Actuarial Science, or Statistics.
- Strong experience in actuarial data management and a solid grasp of modelling activities.
- In-depth experience in experience studies and SoE, with understanding of actuarial cash flow; LDTI and IFRS knowledge is preferred.
- Proficiency in Python, SQL, advanced Excel, and reporting tools such as Power BI; Agentic AI knowledge is highly desirable.
- Reporting and data-management experience is an advantage.
- Motivation, accountability, analytics, attention to detail, problem-solving, communication, and interpersonal skills; ability to manage multiple projects and deadlines.
Benefits
- Benefits include flexible work options, paid time off, health coverage, learning and career-development programs, and employee assistance resources.
- Additional offerings include savings and investment plans, corporate NPS, employee stock purchase plan, long-term incentives, and car lease benefits.
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