Senior Risk Engineer

Responsibilities

We are representing a global asset management firm seeking a Senior Risk Engineer to join their Risk Technology team in London. This is a hands-on role combining software engineering, risk analytics, and financial markets expertise with direct exposure to the investment process.

In this position, you will:

• Architect, build and own production-grade components of the risk technology platform, designing for performance, scalability, reliability and usability
• Build and evolve scalable cross-asset risk capabilities spanning Greeks and sensitivities, stress scenarios, VaR, P&L vectors and attribution, limits, factor analytics, margin, and exposure aggregation
• Partner directly with Portfolio Managers, Risk Managers and Quant Research to solve complex derivatives, risk and portfolio challenges, taking ideas from problem definition through to production
• Build APIs, data pipelines and interactive decision tools that help users understand what changed, what drove it and what action to consider at trade, POD, strategy and fund level
• Translate pricing and risk methodologies into scalable, explainable services, with clear treatment of model assumptions, calibration, validation and controls
• Build tools that turn research, risk analytics and AI into practical investment insight, helping Portfolio Managers and Risk Managers analyse scenarios, understand book and factor exposures, and access validated analytics
• Engineer and operate resilient risk services, integrating positions, market and reference data, with strong testing, data lineage and end-to-end ownership of production issues
• Shape and deliver high-value components of the Risk Technology roadmap in partnership with Technology, Data and AI teams

What We're Looking For

Required qualifications:

• 7+ years of relevant experience in software engineering, quantitative development or risk technology within a hedge fund, asset manager, investment bank or comparable capital-markets environment, with meaningful exposure to front-office or market-risk systems
• Strong record of personally designing, building and supporting production-grade risk, pricing or trading systems, with ownership of complex projects from definition through delivery and support
• Advanced Python/Java and SQL skills, together with strong proficiency in at least one comparable language; practical experience with APIs, distributed or event-driven architectures, databases, data pipelines and large-scale processing
• Strong understanding of derivatives and cross-asset risk analytics, including option pricing, Greeks, scenario analysis and VaR
• Strong architecture and engineering judgement, with a focus on maintainability, testability, performance, controls and operational resilience
• Ability to critically assess model outputs, challenge assumptions and trace discrepancies across data, calibration, methodology and implementation
• Experience integrating internally developed and third-party pricing and risk libraries across asset classes, with strong attention to data lineage, reconciliation, consistency and controls
• Clear, concise communication and evidence of technical leadership through judgement, ownership, and delivery

Bonus skills:

• Hands-on experience applying machine learning, large language models or agentic tools in a controlled production environment, including evaluation, access controls, monitoring and human oversight
• Experience designing and operating modern engineering and data platforms, including cloud infrastructure, containers, CI/CD, streaming, data lineage and observability
• Deep product and risk knowledge in at least one asset class, combined with a broad working understanding across multiple asset classes including equities, fixed income, credit, commodities and FX
• Knowledge of factor risk and margin analytics

How We Work With You

Our talent team at Get A Job.ai partners exclusively with leading organizations to place exceptional professionals. When you apply through our platform, a dedicated recruiter will screen your background and experience. If there's a strong match, we will submit your profile to our client for consideration. Please note that direct contact with the client is not permitted during the recruitment process—all communication flows through Get A Job.ai to ensure a professional and structured experience.

Pay

Compensation details will be discussed during the interview process and will be competitive with the market for senior risk technology professionals in London.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices and partners with organizations that value diversity, equity, and inclusion in their hiring processes. We welcome candidates of all backgrounds to apply.