Description
We are seeking a Quantitative Risk Analyst to join our Risk and Compliance team at Davies in London. As a Quantitative Risk Analyst, you will play a key role in supporting the development and maintenance of quantitative elements of the risk management framework across multiple syndicates and clients within a portfolio.
Key Responsibilities
- Develop and maintain quantitative elements of the risk management framework
- Support quarterly monitoring and development of Actuarial and Exposure Management related Risks and Risk Appetites
- Produce draft reporting and support the preparation of Syndicate ORSA documentation
- Contribute to internal model validation and governance processes, ORSAs, stress testing frameworks, and foster cross-functional collaboration
- Support SCR Validation processes, including those required for Internal Model Approval Processes, Major Model Change submissions, and summer LCR submissions
- Work with internal Actuaries, external Validators, and Exposure Management on Validation
- Undertake Operational Risk Validation and draft reports to the Internal Model Technical Group (IMTG), Internal Model Steering Committee (IMSC), and other forums as required
- Support the production of Validation Reports, including drafting sections as directed
- Collaborate with the Central Capital team and (Senior) Syndicate Actuaries
- Complete Stress and Scenario testing as directed by the Senior Risk Analytics Manager
- Maintain strong working relationships with Actuarial and Exposure Management Team colleagues, alongside other relevant Teams at Asta
Skills, Knowledge & Expertise
- Strong analytical and numerical capabilities with experience interpreting complex datasets and identifying trends, exposures, and emerging risks
- Experience using statistical, actuarial, or risk modelling techniques
- Understanding of insurance risk categories, including underwriting, reserving, capital, operational, and exposure management risks
- Experience supporting Internal Model, Partial Internal Model, or Standard Formula/Standard Model environments
- Knowledge of model governance, model validation, capital requirements, and regulatory expectations
- Exposure to SCR validation, model change processes, or capital adequacy assessments is desirable
- Experience contributing to ORSA production and wider risk management reporting
- Knowledge of stress and scenario testing frameworks, including analysing the impact of adverse risk events on capital and solvency positions
- Ability to communicate quantitative findings clearly to stakeholders
- Experience preparing reports, papers, and presentations for governance committees, boards, or senior stakeholders
- Strong written communication skills with the ability to document methodologies, validation findings, and risk assessments clearly and accurately
- Proven ability to build effective working relationships across Risk, Actuarial, Exposure Management, Capital Modelling, and wider business functions