Senior / Principal Engineer – Risk, PnL & Middle Office Systems (Hedge Fund)

About

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