A leading UK insurer is recruiting a Quant Strategist to join its ALM Securities & Derivatives function, sitting at the core of the firm’s investment and balance-sheet management capability.
We’re looking for a quantitatively strong investment professional with experience in asset-liability management, derivatives and balance-sheet modelling, who is motivated by complex insurance investment problems and the challenge of translating sophisticated models into practical decision-making tools.
Do you enjoy building and enhancing ALM models, analysing Solvency II balance-sheet impacts, and partnering closely with investment teams to support better hedging and portfolio decisions?
Are you looking for a role that combines deep technical modelling, platform development and close collaboration with front-office investors, within a purpose-driven insurance environment?
If so, this could be a strong fit.
The Organisation
Our client provides secure retirement incomes through disciplined risk management and excellence in asset and liability management. Its purpose is to pay the pensions of current and future policyholders, supported by a culture built around resilience, adaptability and long-term commitment.
The ALM Securities & Derivatives function sits at the heart of the business, optimising the interaction between assets and liabilities in line with the firm’s risk appetite. The Quant Strategist team works closely with Investment, Actuarial, Risk and Technology teams to develop the analytical frameworks, hedging tools and portfolio optimisation capabilities that underpin investment decisions.
In this role, you will:
- Maintain and enhance the ALM quantitative platform, ensuring models, libraries and analytics remain accurate, robust and well-documented.
- Design and deliver new modelling features and analytical capabilities aligned to investment initiatives, regulatory requirements and business needs.
- Develop model components for handover into production, working closely with Technology to ensure clean code, clear specifications and appropriate testing.
- Support BAU ALM analytics, including running models, troubleshooting issues and explaining results to internal stakeholders.
- Analyse and approximate Solvency II balance-sheet impacts under different market and portfolio scenarios.
- Collaborate with Investment, ALM, Actuarial and Risk teams to refine assumptions, validate outputs and ensure consistency across frameworks.
- Contribute to the continuous improvement of model governance, coding standards, documentation and version control.
- Undertake research to enhance modelling methodologies, improving efficiency and analytical insight.
- Develop deep technical expertise in key ALM modules, progressing towards subject-matter expertise over time.
Who we’re looking for:
- Strong academic background in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering).
- Experience contributing to ALM, investment, actuarial or risk models, including development, calibration or platform enhancement.
- Solid understanding of:
- Asset-liability management and LDI principles
- Scenario generation, term-structure modelling and cash-flow projection techniques
- Model governance and validation within a regulated environment
- Programming experience in Python, MATLAB or similar, with the ability to write clear, maintainable and well-tested code.
- Experience working with SQL or large financial datasets for data validation and analytical integration.
- Comfortable explaining technical results to non-technical stakeholders and translating analytics into practical investment insight.
- Professional qualifications (CFA, FIA, CQF, PhD) are advantageous but not essential.