Quantitative Developer (Python)

Quantitative Developer (Python)

Full-Time No working from home possible
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At a Glance

  • Tasks: Build innovative software for trading strategies alongside top Quantitative Researchers.
  • Company: Leading hedge fund in London with a focus on engineering excellence.
  • Benefits: Competitive salary, high-impact projects, and a collaborative work environment.
  • Other info: Join a team of bright minds and enjoy exceptional career growth opportunities.
  • Why this job: Make a real impact in finance by solving complex technical challenges with Python.
  • Qualifications: 4+ years of Python development experience and a degree in a technical field.
  • NP-(phone number removed)
  • Β£180,000-Β£220,000
  • Quantitative Developer (Python)
  • London | Hedge Fund | Python | Research & Trading Technology

Building great trading strategies requires great engineering.

We're looking for an experienced Python Developer to work alongside Quantitative Researchers, designing and building the software that underpins research, analytics and live trading.

You'll join a highly technical environment where engineering quality, performance and collaboration are valued just as highly as innovation.

This isn't a traditional application development role.

You'll help create the tools, workflows and platforms that enable researchers to move quickly from ideas to production, taking ownership throughout the full software lifecycle.

  • What you'll be doing
  • Partnering with Quantitative Researchers to build software supporting research and trading
  • Developing scalable Python applications and workflows
  • Designing high-performance solutions for processing and analysing large datasets
  • Collaborating with engineering teams to build reusable software components
  • Taking ownership from design through to deployment and ongoing improvement
  • Supporting business-critical systems within a modern engineering environment
  • We're looking for
  • Strong commercial Python development experience (4+ years)
  • Degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance or a similar technical discipline
  • Experience designing robust, scalable software
  • Understanding of data processing, storage and analysis
  • Experience with modern software engineering practices including Git and Agile
  • Excellent communication skills and the ability to work closely with highly technical stakeholders

Desirable experience

  • C++ or KDB+/q
  • Quantitative or financial engineering experience
  • CI/CD pipelines
  • Logging and monitoring platforms
  • Database technologies
  • Software architecture and solution design

Why apply?

You'll work alongside some of the brightest engineers and quantitative researchers in the industry, solving complex technical problems that directly influence research and trading.

This is an environment where ownership is encouraged, engineering standards are exceptionally high and your work will have a genuine impact from day one.

If you enjoy solving difficult technical challenges with Python and want to work in a collaborative, high-performance engineering team, we'd love to hear from you

Quantitative Developer (Python) employer: Ncounter Limited

As a leading player in the Defence sector, we pride ourselves on being an excellent employer that values the contributions of our Senior Business Analysts. Our work culture fosters collaboration and innovation, providing employees with unique opportunities to engage with senior military and civilian stakeholders while working on critical national security projects. With a focus on professional growth and a commitment to supporting our team members through training and development, we ensure that your career progresses alongside the impactful work you do in secure environments across the UK.

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Contact Details:

Ncounter Limited Recruitment Team

We think you need these skills to ace Quantitative Developer (Python)

Python Development
Software Engineering
Data Processing
Scalable Software Design
High-Performance Solutions
Collaboration with Technical Stakeholders
Git