Quantitative Risk Analyst - 12-Month FTC (London)

Davies; Greater London; Presencial; GBP 60.000 - 90.000; Tempo integral

Resumo da vaga

Davies in London is seeking a Quantitative Risk Analyst for a 12-month fixed-term contract. You will lead quantitative elements of the risk management framework across syndicates and clients, analyzing data to spot trends, risks, and opportunities for reporting.

The role supports internal model governance, ORSA, stress testing and scenario analysis, and requires collaboration with Actuarial, Exposure Management and Capital Modelling teams to strengthen risk oversight and governance frameworks.

Qualificações

• Strong analytical and numerical capabilities with data trend awareness.
• Experience with risk assessments, risk appetite monitoring, and reporting.
• Knowledge of actuarial or risk modelling techniques is advantageous.

Responsabilidades

• Syndicate risk management: develop and maintain quantitative elements of the risk framework.
• Monitor risk appetite quarterly and support actuarial exposures and related risks.
• Assist in SBF reviews and ORSA documentation with quantitative input.
• Support validation activities and action closure within SCR validation processes.
• Contribute to IM policy governance and model governance discussions.
• Draft governance reports and liaise with IMTG/IMSC when required.
• Collaborate across Risk, Actuarial, Capital Modelling and other teams.

Conhecimentos

Quantitative analysis

Data interpretation

Risk modelling

ORSA knowledge

Stress testing

Governance reporting

Stakeholder collaboration

Descrição da vaga

Davies in London is seeking a Quantitative Risk Analyst for a 12-month fixed-term contract. You will lead quantitative elements of the risk management framework across syndicates and clients, analyzing data to spot trends, risks, and opportunities for reporting.

The role supports internal model governance, ORSA, stress testing and scenario analysis, and requires collaboration with Actuarial, Exposure Management and Capital Modelling teams to strengthen risk oversight and governance frameworks.