At a Glance
- Tasks: Develop and enhance Python systems for live systematic options trading.
- Company: Rapidly expanding tech-first hedge fund in London.
- Benefits: Excellent compensation, direct investment exposure, and significant ownership from day one.
- Other info: Collaborate closely with portfolio managers and researchers in a dynamic environment.
- Why this job: Join a lean team and make a real impact on trading outcomes.
- Qualifications: Bachelor's or Master's in a quantitative field and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a tech-first, rapidly expanding hedge fund based in London seeks a python expert to join their systematic options as a Quant Developer and work alongside one of the firm's 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 decision-makers 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.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer (Systematic Options/Python) – Tier 1 Hedge Fund – Excellent Compensation[...]
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mondrian Alpha!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Developer (Systematic Options/Python) – Tier 1 Hedge Fund – Excellent Compensation[...] at Mondrian Alpha.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mondrian Alpha.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Developer (Systematic Options/Python) – Tier 1 Hedge Fund – Excellent Compensation[...] at Mondrian Alpha, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Developer (Systematic Options/Python) – Tier 1 Hedge Fund – Excellent Compensation[...]
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mondrian Alpha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mondrian Alpha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mondrian Alpha!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
