Actuarial Analyst supporting London Market Non - Property business at Hiscox. Contributing to quarterly reserving cycle and interacting with stakeholders for regulatory requirements.
About the role
- Actuarial Modeling & Technical Lead developing actuarial models and workflows at Oliver Wyman. Focus on P&C actuarial experience and practical software skills for consulting clients.
Responsibilities
- Build, test, document, and maintain actuarial logic implemented in code (Python/R) or modeling platforms, ensuring reproducible, version-controlled workflows
- Design and implement end-to-end actuarial workflows across pricing, reserving, underwriting, and claims analytics; create developer-ready specifications and technical documentation
- Leverage AI-assisted development tools, cloud platforms and machine learning algorithms to improve modeling, code generation, automated testing, and documentation while maintaining actuarial governance and correctness
- Perform exploratory data analysis, validate data pipelines (SQL, Databricks, Azure), and turn complex datasets into clear recommendations with client-ready reporting, dashboards & relevant visualizations
- Act as the liaison between actuarial subject matter experts and engineering teams: translate actuarial specifications into technical requirements, review implementations, and validate via unit and integration tests
- Contribute to practice tooling, best practices, and business development; represent the practice at industry events
Requirements
- Fellowship in a recognized actuarial body (e.g., FCAS/FIA) or equivalent senior actuarial qualification
- 3+ years of P&C actuarial experience in consulting or insurance with hands‑on work in pricing, reserving, or claims analytics
- Demonstrated experience in P&C modeling, building predictive models for frequency/severity, loss cost, and other relevant actuarial use cases
- Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous
- Experience with Git/GitHub and Databricks preferred
- Familiarity with cloud ML and data platforms (Azure ML) and ML Ops practices a plus
- Experience with visualization tools (Power BI, matplotlib/ggplot) and dashboarding a plus
- Excellent communication skills and demonstrated ability to translate complex technical work into clear business recommendations
- Intellectual curiosity, self-motivation, and the ability to deliver against tight deadlines in a client facing consulting environment.
Benefits
- performance-based pay program
- year-end bonuses based on personal and corporate performance
- health and welfare benefits
- tuition assistance
- 401K savings and other retirement programs
- employee assistance programs
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