Sartre Group is partnering with a leading multi-strategy hedge fund to hire a Senior / Principal Engineer focused on PnL, pricing, and risk platforms. This is a high-impact role sitting at the intersection of trading, risk, and operations, with ownership of critical systems that directly influence investment decisions and firm-wide reporting.
This position is ideal for candidates currently at top-tier hedge funds or high-frequency trading firms, looking to take on broader ownership and strategic responsibility across middle office and risk technology.
You will act as a technical owner and subject-matter expert across the firm’s PnL, pricing, and valuation systems, while also driving the design and build of next-generation risk and analytics platforms.
Working closely with traders, quants, and senior stakeholders, you will deliver scalable, high-performance systems that underpin real-time decision-making, valuation, and risk management.
Key Responsibilities
- Own and evolve the firm’s PnL and pricing infrastructure, ensuring accuracy, robustness, and scalability
- Design and develop risk and valuation systems used across trading and portfolio management
- Partner with trading, risk, finance, and operations to ensure consistent representation of positions, pricing, and valuations
- Architect and build high-performance, distributed systems with a focus on reliability and latency
- Drive strategic enhancements, automation, and integration across upstream/downstream platforms
- Lead end-to-end engineering projects, from design through to deployment
Requirements
- Strong academic background from a top-tier university (Computer Science, Engineering, or related field)
- ~5+ years’ experience within hedge funds, proprietary trading, or high-frequency trading environments
- Deep experience with PnL, pricing, or risk systems in a front-to-middle office context
- Expert-level Java development skills (core language, concurrency, performance tuning)
- Strong experience with distributed systems and multi-threaded architectures
- Solid understanding of middle office processes (e.g. trade lifecycle, reconciliation, valuation, risk)
- Experience building low-latency, high-throughput systems in production environments
- Familiarity with SQL and data modelling for financial systems