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Tier-1 brand and metro location increase candidate density despite niche actuarial qualification requirement.
Actuarial qualifications and insurance-specific modelling make skills industry-specific and less transferable.
Explicit 1–2 year requirement, actuarial exam progress, and technical skills create moderate filtering.
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Own specification and implementation of data transformation and validation logic for actuarial modelling, experience analysis, and assumption setting ensuring data accuracy and fitness for purpose.
Accountable for Model Points Data Production and Experience Analysis tasks under team manager direction, delivering high-quality, timely outputs with documentation and controls.
Support interpretation and communication of actuarial results and contribute to process improvements and consistent standards within the actuarial modelling and valuation team.
1-2 years relevant actuarial experience; experience in experience analysis or monitoring is advantageous.
Student member of Institute of Faculty of Actuaries and/or Indian Institute of Actuaries with at least 3-4 exams passed and actively progressing.
Proficiency in Excel (formulas, pivot tables, Power Query) and experience with data analysis/automation tools (Python, SQL, Power BI).
Work Experience Required: 1-2 years relevant actuarial experience.
Technically strong in data transformation and validation with actuarial judgement to prioritize material data issues and propose simplifications.
Comfortable working with coding languages (SQL, Python) and data tools to automate, analyse, and improve data workflows.
Experienced in maintaining rigorous documentation, controls, and governance evidence in an actuarial finance environment subject to audit and regulatory standards.