Investment Risk Analyst - Risk Analytics & Modelling
On-siteLondon, England, United Kingdom or Edinburgh, Scotland, United Kingdom
Job Summary
Develop and maintain production risk analytics, datasets, and PowerBI dashboards supporting Investment Risk oversight, CRO reporting, and regulatory obligations. Manage risk data pipelines, ensure code quality and version control, and build analytics in Python and DataBricks. Support risk model governance by conducting annual appropriateness reviews, monthly VaR backtesting, and validating Aladdin model changes. Collaborate with Technology to define requirements, design solutions, and lead user acceptance testing for data platforms. Provide analytical advisory services to Investment Risk Specialists and support new mandate onboarding by configuring analytics and validating outputs before go-live.
Required Qualifications
- Proven 4 years'+ experience in an investment risk, investment quant analytics, risk technology or a technical business analyst role at an asset management house or other financial services (asset management, banking, or insurance)
- Strong Python and SQL skills, production-quality code, data pipelines, query optimisation, and working with large datasets
- Experience with version control (Git/Azure DevOps) and disciplined development practices
- Understanding of investment risk concepts: VaR, stress testing, credit risk metrics, leverage, and performance attribution
- Demonstrated ability to collaborate with technology teams through the development lifecycle, writing business requirements, participating in solution design, and leading UAT
- Background in asset management, quantitative finance, or a related field, with a solid understanding of financial markets and fixed income products
Desired Qualifications
- Experience with DataBricks, Spark, or cloud-based analytics platforms, and developing dashboards/reports using PowerBI or comparable tools
- Understanding of derivatives (rates, inflation, credit) — their valuations, risk sensitivities, and how they are represented in risk models
- Familiarity with AI-assisted development tools (e.g. GitHub Copilot) and an interest in applying automation to improve efficiency of risk processes
- Experience with Aladdin (BlackRock) or comparable enterprise risk platforms
- Knowledge of UCITS/AIFMD regulatory reporting, leverage calculations, or fund oversight processes
- CFA, FRM, or equivalent qualification (or working towards)
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