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Medium—Tier-1 Mumbai role but actuarial-data specialization reduces general applicant pool.
High—actuarial valuation expertise is essential, limiting transferability outside insurance and asset-management contexts.
High—requires actuarial domain expertise, valuation controls, Databricks, Python and compliance-aware delivery.
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Support and improve actuarial valuation processes through process mapping, mining, and documentation of methodologies and data requirements.
Prepare and transform valuation input datasets using Python and Databricks, and develop visualisations and dashboards with Databricks Apps and Power BI.
Collaborate with actuarial, finance, and technology teams across India and the UK to deliver valuation transformation activities and ensure adherence to established frameworks and controls.
Experience in preparing and transforming actuarial valuation datasets using Python and Databricks.
Knowledge or experience with Power BI for creating visualisations and dashboards.
Exposure to process mapping, mining, and documentation in actuarial or valuation contexts.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working with cross-functional global teams including actuarial, finance, and technology across different geographies.
Experienced in identifying inefficiencies and opportunities for automation in actuarial valuation lifecycle.
Able to manage risks, resource allocation, and maintain delivery quality for complex systems and processes.