Quantitative Developer

Quant and Tech recruiter - Engineering Data AI Quants Research The Role

Our client is an elite multi strategy hedge fund seeking a high calibre Quantitative Developer to join their core trading technology team. This is a versatile role designed for a developer who can bridge the gap between sophisticated quantitative research and robust production systems. You will be responsible for the design, development, and optimisation of the firm's systematic trading infrastructure, working closely with Portfolio Managers to translate complex alpha signals into high-performance code.

Whether your expertise lies in ultra low latency C++ execution or sophisticated Python based research frameworks, you will play a critical role in the full lifecycle of systematic trading.

Key Responsibilities

• Trading Infrastructure: Build and maintain scalable, high-performance backtesting engines and live trading systems.
• Alpha Implementation: Collaborate with Quantitative Researchers to implement, optimise, and deploy systematic trading strategies.
• Tooling & Automation: Develop proprietary libraries and tools in Python for data analysis, risk management, and performance attribution.
• Low Latency Engineering: (For C++ focus) Optimise core execution components, exchange connectivity, and order routing for microsecond level performance.
• Data Pipelines: Architect and manage robust pipelines for ingesting and processing massive datasets, including tick data and alternative data.

Requirements

• Technical Mastery: Exceptional proficiency in either C++ (17/20) with a focus on systems programming, or Python with deep knowledge of the scientific stack (Pandas, NumPy, Scikit Learn).
• Academic Background: A First Class degree or PhD in a highly quantitative subject (Computer Science, Mathematics, or Physics) from a top tier university.
• Financial Experience: Proven experience in a Quantitative Development or Trading Technology role within a hedge fund, prop firm, or investment bank.
• Problem Solving: Strong understanding of algorithms, data structures, and software design patterns.
• Domain Knowledge: Familiarity with derivatives pricing, market microstructure, or risk modelling is highly advantageous.

Why Join This Team?

• High Impact Work: Work directly on the systems that drive the fund's P&L in a highly meritocratic environment.
• Technological Freedom: Use the best tools for the job, with access to cutting edge hardware and cloud infrastructure.
• Exceptional Talent: Collaborate with world class traders and engineers in a flat, intellectually stimulating culture.
• Competitive Compensation: A market leading package including a significant performance linked bonus.

Seniority level

Mid Senior level

Employment type

Full time

Job function

Information Technology