Quantitative Developer (Systematic Options/Python) – Tier 1 Hedge Fund – Excellent Compensation[...]

Mondrian Alpha; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Excellent compensation and benefits

Direct exposure to live investment strategy

Significant ownership from day one

Job summary

Mondrian Alpha, a tech-first hedge fund in London, is seeking a Python expert for a Quant Developer role. This position offers a chance to work alongside one of the firm's leading portfolio managers, contributing significantly to a live systematic trading strategy.

The ideal candidate should have a Bachelor's or Master's degree in a quantitative discipline and at least 2 years of software development experience. These roles come with competitive compensation and direct involvement in investment decisions.

Qualifications

• 2+ years of software development experience within trading or financial technology.
• Strong interest in quantitative investing and systematic strategies.
• Experience with options, derivatives, or risk analytics is a plus.

Responsibilities

• Maintain and enhance the research and production codebase for systematic options strategy.
• Work with PMs and researchers to implement quantitative research ideas.
• Improve platform reliability and automate workflows across development lifecycle.

Skills

Python development

Debugging complex data workflows

Quantitative investing

Software engineering best practices

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering

Tools

AI-assisted development tools

Monitoring tools

Job description

Our client, a tech-first, rapidly expanding hedge fund based in London seek a python expert to join their systematic options as a Quant Developer and work along side one of the firms highest performing portfolio managers.

As the principal python quant dev sat alongside the Portfolio Manager and researcher, you will play a critical role in supporting and developing the technology platform behind a live systematic trading strategy. The role combines production engineering, quantitative tooling, trading infrastructure, and close collaboration with the investment team, offering exceptional exposure to both technology and the investment process.

This is a highly visible position within a lean team where strong engineers can have a direct impact on research, portfolio construction, and live trading outcomes. The environment offers significant ownership, broad technical challenges, and the opportunity to work on problems that directly influence investment performance.

What You Will Be Doing

• Maintaining and enhancing the research and production codebase supporting a live systematic options strategy
• Monitoring, troubleshooting, and improving the operation of approximately 200 live transforms and related analytics
• Working directly with the PM and researcher to implement quantitative research ideas into robust production systems
• Building tools and dashboards providing visibility into positions, signals, risk, and overall system health
• Improving platform reliability, observability, testing, documentation, and automation across the development lifecycle
• Debugging complex data pipelines, signal implementations, and production workflows
• Leveraging AI-assisted development tools and automated workflows to accelerate delivery and reduce operational burden
• Identifying recurring operational challenges and implementing scalable long-term solutions
• Contributing to the continued evolution of the team's research and trading infrastructure

What They Are Looking For

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline
• 2+ years of software development experience within a trading, quantitative, or financial technology environment
• Strong Python development skills and experience building reliable production-quality systems
• Strong interest in quantitative investing and systematic strategies
• Experience supporting production or production‑adjacent systems
• Strong understanding of software engineering best practices including testing, version control, code review, monitoring, and modular design
• Strong debugging and problem‑solving capabilities across complex data and technology workflows
• Comfortable operating in a highly collaborative front‑office environment working directly with PMs and researchers
• Strong ownership mentality with the ability to balance engineering excellence with the pace required in an investment team

Nice To Have

• Experience with options, derivatives, volatility strategies, or risk analytics
• Experience with signal pipelines, research platforms, backtesting systems, or live trading infrastructure
• Experience building monitoring tools, dashboards, or operational analytics platforms
• Familiarity with distributed computing, workflow orchestration, or large‑scale data pipelines
• Experience using LLMs, coding agents, or AI tools to automate software development, testing, documentation, or data analysis
• Experience working with alternative or unstructured data sources

The ideal candidate will combine strong software engineering capability with a genuine interest in systematic investing, operational excellence, and the desire to work directly alongside investment decisionmakers within a world‑class hedge fund environment.

The firm offers excellent compensation and benefits, direct exposure to a live investment strategy, significant ownership from day one, and the opportunity to help shape the next generation of AI‑enabled quantitative research and trading infrastructure.