Senior Analyst - Actuarial - Methodology & Assumption (M&A) Actuarial Policyholder Data Team
M&G plc (company site, opens in a new tab)1–2 yrsMumbaiOn-siteDirect career pageEst. 7–12 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Own validation and transformation of policyholder data used in actuarial modelling and assumption setting within Methodology & Assumption (M&A) Actuarial Policyholder Data Team.
- Deliver and maintain specification, documentation, and quality controls for data transformation ensuring fit-for-purpose inputs for actuarial modelling and experience analysis.
- Support actuarial insight delivery by producing high quality data outputs and operational process improvements under team manager direction.
Minimum Requirements
- 1-2 years of relevant actuarial experience, preferably including experience with experience analysis or monitoring.
- Student member of Institute/Fellowship of Faculty of Actuaries and/or Indian Institute of Actuaries with at least 3-4 exams passed and actively studying.
- Technical skills: Advanced Excel (formulas, pivot tables, Power Query), experience with SQL and Python coding; knowledge on data analysis and automation tools like Power BI or Databricks.
- Work Experience Required: 1-2 years actuarial experience explicitly mentioned. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Detail-oriented analyst with strong technical coding ability in SQL and Python to automate data validation processes and enhance actuarial data quality.
- Able to communicate complex technical actuarial data transformation logic and results clearly to stakeholders and support decision-making.
- Experience in actuarial modelling/data transformation with familiarity or willingness to learn business context including Solvency II or IFRS financial reporting.