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Metro location and reputable employer, but niche actuarial skillset limits candidate pool.
Specialized actuarial knowledge, exams, and insurance-focused experience limit cross-industry transferability.
Explicit actuarial experience range and exam membership plus technical SQL/Python and Excel requirements raise screening rigor.
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Own validation and transformation of policyholder data for actuarial modelling and assumption setting, ensuring data quality and fitness for purpose.
Deliver high-quality data production and experience analysis tasks to support decision-making and long-term value creation.
Maintain documentation, controls, and collaborate with stakeholders to improve processes and meet agreed standards within timelines.
1-2 years of relevant Actuarial experience, preferably including experience with experience analysis or monitoring.
Student member of Institute of Faculty of Actuaries and/or Indian Institute of Actuaries with at least 3-4 exams completed and actively progressing.
Technical skills including advanced Excel (formulas, pivot tables, Power Query), and exposure to SQL, Python, or Databricks; desire to develop coding ability.
Work Experience Required: 1-2 years in Actuarial roles. Notice period: Not explicitly mentioned in the JD.
Comfortable using actuarial judgement to simplify data processes and managing data quality controls in a complex regulatory environment.
Experienced in producing clear, accurate documentation and working within BAU processes supporting actuarial modelling.
Skilled in data analysis and automation, capable of balancing multiple tasks with attention to detail and delivering to deadlines.