Hunter Bond
Quantitative Developer
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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
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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
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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.
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Jessica, London
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