Quantitative Developer

Quantitative Developer

You will collaborate closely with quantitative researchers, traders, and other developers to develop and maintain tools for strategy development, back testing, pricing, data ingestion, and real-time trading.

Key Responsibilities

• Design, develop, and maintain production-grade code for pricing, trading, and risk management systems.
• Implement and optimize quantitative models in collaboration with researchers and portfolio managers.
• Develop tools for back testing, simulation, and analysis of trading strategies.
• Build and maintain data pipelines for market, fundamental, and alternative datasets.
• Contribute to architectural decisions and code reviews across the quant tech stack.
• Ensure systems are scalable, reliable, and performant under production load.

Requirements

Technical Skills:

• Strong programming skills in

  Python

  and/or

  C++

  (or another performant language like Java or Rust).
• Experience with numerical computing libraries (e.g., NumPy, pandas, SciPy) and/or real-time systems.
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with version control (e.g., Git) and development tools (e.g., CI/CD pipelines).

Quantitative & Domain Knowledge:

• Solid background in applied mathematics, statistics, or computational finance.
• Familiarity with financial instruments (e.g., equities, options, futures, FX, fixed income).
• Understanding of risk modelling, pricing, or trading strategy development is a plus.

Education:

• Bachelor’s in Computer Science, Mathematics, Engineering or a related field.

Soft Skills:

• Excellent problem-solving and analytical thinking.
• Strong communication skills; able to explain complex ideas clearly to both technical and non-technical stakeholders.
• Self-driven and able to thrive in a fast-paced, collaborative environment.