Senior Risk Engineer

What you'll do

• Architect, build, and support scalable production components for cross-asset risk analytics, APIs, data pipelines, and interactive tools.
• Partner with Portfolio Managers, Risk Managers, and Quant Research to take risk and portfolio challenges from definition through production.
• Advance Risk Intelligence capabilities, including tools for scenario analysis, exposure and P&L diagnostics, and validated analytics accessible through natural language.

What they ask for

• 5+ years of relevant software engineering, quantitative development, or risk technology experience in a capital-markets environment, with meaningful exposure to front-office or market-risk systems.
• A record of personally building and supporting production-grade risk, pricing, or trading systems and owning complex projects through delivery and support.
• Advanced Python / Java and SQL skills, proficiency in at least one comparable language, and practical experience with APIs, 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.

Nice to have

• Knowledge of factor risk and margin analytics.
• Experience with production machine learning, large language models agentic tools, AI-assisted development, or modern engineering and data platforms.

Tools

Python, Java, SQL

AI focus

Build tools that apply AI to investment insight, including validated analytics accessible through natural language; bonus experience includes production machine learning, large language models agentic tools, or AI-assisted development.