Quantitative Developer

Tradermath; Greater London; On-site; GBP 45,000 - GBP 65,000; Full time

Job summary

A financial technology startup is seeking a developer to join their team focusing on systematic equity trading. This growth role offers the opportunity to contribute to all aspects of the startup lifecycle, from building to scaling operations. The successful candidate will have over 2 years of experience in Python and data engineering and will take shared responsibility for the operation of trading systems. The role is based in London initially, with flexibility for remote work in the future.

Qualifications

• 2+ years of commercial experience with Python.
• Experience with Linux and basic bash scripting.
• Solid understanding of computation, OOP/architecture design, and data engineering.

Responsibilities

• Building components for all aspects of live trading and research environments.
• Driving automation and robustness of the team’s processes.
• Monitoring and troubleshooting any issues that should arise.

Skills

Python

Data science libraries

Linux

Bash scripting

Data engineering

Analytical skills

Education

Bachelor’s degree in computer science or other STEM discipline

Job description

About the team:

The team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. We require London based in the short term to maximise team efficiency, but are flexible in location in the medium and long term.

Role/Responsibilities:

An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.

Responsibilities may include:

• Building components for all aspects of live trading and research environments.
• Driving automation and robustness of the team’s processes.
• Developing robust data checking and handling procedures.
• Monitoring and troubleshooting any issues that should arise.
• Shared responsibility for timely and correct operation of trading systems.

Requirements:

• Bachelor’s degree or equivalent in computer science or other STEM discipline.
• 2+ years of commercial experience with Python and its data science libraries.
• Experience with Linux and basic bash scripting.
• Solid understanding of computation, OOP/architecture design, and data engineering.
• Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
• Accountable, self-driven, with high standards for deliverables and performance.
• Ability to work and deliver in a fast pace.
• Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
• Ability to work with ambiguous requirements.
• Commercial use of cloud compute and containers a plus.
• Strong analytical skills and command of statistics a plus.
• Commitment to the highest ethical standards.

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