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Niche actuarial skillset and exam progression reduces applicant competition despite metro location.
Actuarial, Solvency II/IFRS and exam-based requirements make background highly industry-specific.
Mandatory 1-2 years actuarial experience plus exam progression and audit controls increases strictness.
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Own the specification and implementation of data transformation and validation logic for actuarial modelling, experience analysis, and assumption setting to ensure data quality and fitness for purpose.
Accountable for Model Points Data Production and Experience Analysis tasks; deliver high-quality, accurate outputs within agreed timelines and standards under senior team direction.
Maintain comprehensive documentation, implement controls, and collaborate with stakeholders to support actuarial insight and continuous process improvements.
1-2 years of relevant actuarial experience; experience in experience analysis or monitoring is advantageous.
Student member of Institute or Faculty of Actuaries and/or Indian Institute of Actuaries with at least 3-4 exams passed and actively studying towards exams.
Mandatory skills include advanced Excel (formulas, pivot tables, Power Query), and experience with data analysis and automation using Excel, Power BI, Python, or SQL.
Work Experience Required: 1-2 years actuarial experience explicitly mentioned in JD.
Operates effectively under direction of senior members, delivering high-quality actuarial data outputs with attention to accuracy and compliance.
Technical aptitude for coding (SQL, Python) and data tools (Databricks), with a continuous improvement mindset and strong problem-solving skills.
Focused on precise documentation, transparent communication of technical concepts, and maintaining governance and audit standards in actuarial data processes.