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- Tasks: Join a team to build a systematic trading platform from scratch, focusing on data engineering and analytics.
- Company: A leading Tier 1 hedge fund known for its innovative approach to systematic trading.
- Benefits: Enjoy competitive pay, flexible working options, and the chance to work with top industry professionals.
- Why this job: Be part of a groundbreaking project that shapes the future of trading strategies in a dynamic environment.
- Qualifications: 2+ years in algorithmic trading, strong Python skills, and a solid grasp of quantitative analysis.
- Other info: Work closely with a Portfolio Manager to influence strategic decisions and drive innovation.
The predicted salary is between 48000 - 72000 £ per year.
My client, a Tier 1 multi-manager backed hedge fund, is looking to hire a Quantitative Developer/Researcher to join a newly formed pod trading systematic fixed income RV. This is a rare opportunity to help build out a systematic platform from the ground up—everything from the architecture and infrastructure to research tooling and data engineering pipelines. The fund is discretionary in nature but deeply model-driven, and the Portfolio Manager is looking for a partner who combines deep software engineering skill with a strong understanding of systematic trading.
In the immediate term, you'll be the driving force behind the buildout of the systematic platform—designing the architecture, developing the infrastructure, and creating the data lakes necessary to support large-scale data mining and model development. Longer term, this role evolves into something far more strategic: working directly with the PM to shape and implement new systematic strategies, particularly in macro and rates, as the fund expands its footprint. Your trading and research instincts will be critical in helping elevate the profile and breadth of strategies, especially within the PM’s core focus areas of fixed income relative value, auctions, and options.
Key Responsibilities:- Work directly with the Portfolio Manager to design and develop data engineering and predictive analytics tools for systematic fixed income trading.
- Contribute to the design, build, and maintenance of the systematic trading platform, including scalable data pipelines and robust database architecture.
- Create infrastructure to support large-scale computation, quantitative research, and live model deployment.
- Design and implement rigorous processes for validating data and maintaining integrity across multiple vendor sources.
- Proactively monitor production systems, resolving issues in real time to ensure seamless trading operations.
- At least 2 years of experience developing algorithmic trading systems.
- Strong programming skills in Python and KDB/Q.
- Familiarity with parallel computing frameworks such as multiprocessing or multithreading.
- Solid understanding of modern software development practices, including version control, unit testing, and debugging.
- Strong foundation in quantitative analysis, statistics, mathematical modelling, and probability theory.
- Excellent problem-solving and communication skills, with the ability to quickly understand and navigate complex systems.
To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com.
Quantitative Developer/Researcher - Tier 1 Hedge Fund - Systematic Fixed Income Buildout - Discre... employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer/Researcher - Tier 1 Hedge Fund - Systematic Fixed Income Buildout - Discre...
✨Tip Number 1
Familiarise yourself with the latest trends in systematic trading and quantitative finance. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in quantitative roles. Attend relevant conferences or webinars, and connect with them on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and KDB/Q. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to develop algorithmic trading systems.
✨Tip Number 4
Prepare to discuss your problem-solving approach and past experiences in quantitative analysis during interviews. Be ready to provide examples of how you've tackled complex issues in previous roles, as this will highlight your suitability for the position.
We think you need these skills to ace Quantitative Developer/Researcher - Tier 1 Hedge Fund - Systematic Fixed Income Buildout - Discre...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in algorithmic trading systems, programming skills in Python and KDB/Q, and any familiarity with parallel computing frameworks. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of systematic trading and your ability to contribute to the buildout of a trading platform. Mention your problem-solving skills and how they align with the role's requirements.
Highlight Quantitative Skills: In your application, emphasise your foundation in quantitative analysis, statistics, and mathematical modelling. Provide examples of how you've applied these skills in previous roles or projects.
Showcase Communication Skills: Since the role involves working closely with the Portfolio Manager, highlight your communication skills in your application. Discuss experiences where you successfully collaborated with others to solve complex problems.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python and KDB/Q. Bring examples of past projects where you developed algorithmic trading systems, and be ready to explain the technical challenges you faced and how you overcame them.
✨Understand Systematic Trading Concepts
Familiarise yourself with systematic trading strategies, particularly in fixed income. Be ready to discuss how you can contribute to the design and development of data engineering tools that support these strategies, demonstrating your understanding of the market.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or case studies during the interview. Show how you approach complex problems, especially in real-time trading situations, and highlight your analytical skills and ability to think on your feet.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you will need to collaborate closely with the Portfolio Manager and other team members. Make sure to convey your ideas clearly and confidently.
