Quantitative Developer

Job Title: Senior Quant Developer – Research Platform

Client: Award-winning systematic trading firm

Experience: 5+ years

Compensation: Up to £200k base + Bonus + Benefits

Location: London (Hybrid)

The Opportunity :

My client is a globally-recognised systematic trading firm where engineering isn't a support function — it's the engine room. Every system they build feeds directly into how fast and how well the firm can find and act on alpha.

They're scaling up their next-generation quant research platform: the infrastructure that lets their research teams query and crunch exabyte-scale market datasets at extreme speed. This is greenfield, high-impact platform work — not routine data engineering.

For the right Quant Developer, there's also a genuine growth path into strategy work, sitting shoulder-to-shoulder with top-tier quant researchers as your understanding of the business deepens.

What You'll Be Doing :

• Architecting distributed Python systems that handle exabyte-scale market data with real reliability and speed
• Building the tooling, pipelines and platforms that let quant researchers move faster and dig up new alpha
• Tackling hard problems in distributed computing, storage, parallelisation and high-performance data engineering
• Working directly with quants and traders to turn research ideas into production-grade systems
• Relentlessly tuning latency, throughput and efficiency across the stack
• Owning major platform components end-to-end — design through deployment and beyond
• Shaping engineering standards and technical direction across the platform team
• Progressively gaining exposure to modelling, signal generation and algo development as you grow into the role

What You'll Bring :

• Strong commercial Python experience in quant finance or another genuinely large-scale distributed systems environment (big tech candidates considered case-by-case, depending on depth of distributed-systems ownership)
• A track record building large-scale distributed applications or high-performance data platforms
• Sharp grasp of algorithms, data structures and software architecture
• Experience wrangling very large datasets and optimising for performance
• Comfort in Linux environments with strong modern engineering practices
• Excellent communication — you'll need to work closely with highly technical, non-engineering stakeholders
• A quantitative degree: Computer Science, Maths, Physics, Engineering or similar

Bonus Points For :

• Time spent at a hedge fund, prop trading firm or quant investment manager
• Distributed computing / large-scale data processing exposure
• Familiarity with market data or quant research workflows
• Experience building research or analytics platforms
• C++, Rust or other performance-oriented language skills
• Cloud infra, Kubernetes or modern distributed computing environments

Demand for developers with this profile is extremely high right now — get in touch quickly to be considered.