Back
Metro location and generalist data title increase applicants, but actuarial specialization and firm specificity moderate competition.
Strong actuarial valuation and finance domain emphasis reduces cross-industry transferability.
Explicit 7–10 years, actuarial valuation expertise, Databricks/Python and documentation mandates raise filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead process mining and analysis of actuarial valuation workflows to identify control gaps, inefficiencies, and automation opportunities.
Design and implement automated data flows and processing in Python and Databricks to ensure accurate and timely valuation outcomes.
Develop senior-level Power BI dashboards and Databricks Apps visualizations, and provide technical guidance and support to junior colleagues.
7 to 10 years of relevant work experience.
Strong understanding of actuarial valuation methodology, financial reporting concepts, and data flows.
Proficiency in Python and Databricks for data extraction, transformation, and automation.
Numerical based degree or Post Graduate qualification.
Experience working closely with actuarial modelling teams, finance stakeholders, and technology partners in a financial services context.
Skilled in documenting processes, controls, and business rules with clarity and precision.
Capable of using AI assistants (e.g., GitHub Copilot) responsibly for automation design and code generation while supporting junior colleagues with technical guidance.