Python Quantitative Developer

Oxford Knight; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Oxford Knight is seeking strong Python engineers to work alongside Quant Researchers and Portfolio Managers. You will help build the platforms and tooling that turn ideas into production trading strategies, combining software engineering with data and quantitative research.

Role involves high-performance Python frameworks, large-scale data processing, and close collaboration with QR/PM teams to accelerate research and deployment.

Qualifications

• Strong software design and CS fundamentals.
• Experience building production-quality systems.
• Comfortable working with large and complex datasets.
• Ability to work closely with highly quantitative users.

Responsibilities

• Build research and backtesting platforms.
• Design high-performance Python frameworks.
• Enable researchers to turn ideas into production trading strategies.
• Improve researcher workflows and iteration speed.
• Develop tools around simulation, risk and execution.

Skills

Software design

CS fundamentals

Production-quality systems

Large datasets

Collaboration with quantitative users

Job description

I’m representing multiple leading systematic investment firms looking for strong Python engineers to work directly alongside Quantitative Researchers and Portfolio Managers.

These roles sit at the intersection of software engineering, data and quantitative research. Rather than being a pure researcher, you’ll build the platforms and tooling that allow researchers to turn ideas into production trading strategies.

The strongest firms increasingly treat Quant Developers as core engineering partners to investment teams rather than support functions.

The work can include:

• Building research and backtesting platforms
• Designing high-performance Python frameworks
• Large-scale data processing and analytics
• Improving researcher workflows and iteration speed
• Distributed compute and research infrastructure
• Working directly with QRs/PMs from idea through production
• Developing tools around simulation, risk and execution

Looking for:

• Strong software design and CS fundamentals
• Experience building production-quality systems
• Comfortable working with large and complex datasets
• Ability to work closely with highly quantitative users

Experience in systematic trading is valuable, particularly for more desk-aligned positions, but there are also opportunities for exceptional Python engineers coming from technology, ML or scientific computing.

For the right engineer, this is an opportunity to combine strong software engineering with extremely direct commercial impact.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.