Risk Development – Software Engineer

The Risk Development team designs, builds, and maintains the technology and analytics that enable the firm to measure, monitor, and manage risk across all strategies. The team partners closely with risk managers, quants, operations and other teams to translate investment activity into timely, accurate, and actionable risk insights. 

We are seeking a mid-level Software Engineer to join our Risk Development team, responsible for building and enhancing the platforms and analytics that support firm-wide risk management. This role sits at the intersection of engineering, data, and investment risk, and works closely with Risk Managers, Quants, Strats, Operations and other teams.

The ideal candidate is a strong hands-on developer who is comfortable working with large-scale financial data, building reliable and performant systems, and translating risk concepts into production-grade software.

Familiarity with investment risk is required. Engineering ability, code quality, and system design skills are the primary hiring criteria.

• Design, develop, and maintain risk analytics and data pipelines supporting attribution, exposure, sensitivity, P&L, and stress/scenario analysis
• Build scalable Python-based services and batch workflows, with heavy use of distributed computation frameworks (e.g., Dask)
• Develop and optimize data models and queries in Snowflake and MS SQL Server to support both intraday and end-of-day risk management needs
• Deploy and operate workloads on AWS, leveraging cloud-native and containerized architectures
• Support elastic compute and scaling using Kubernetes-based platforms (e.g., KEDA, Karpenter)
• Partner with Risk stakeholders to refine requirements and deliver actionable risk insights
• Improve system reliability, performance, and observability across the platform
• Participate in production support and incident resolution for mission-critical risk systems