At a Glance
- Tasks: Build a cutting-edge systematic trading platform from scratch and develop predictive analytics tools.
- Company: Join a top-tier hedge fund with a focus on innovation and collaboration.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make a real impact in finance by shaping new trading strategies and systems.
- Qualifications: 2+ years in algorithmic trading, strong Python skills, and a solid grasp of quantitative analysis.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Overview
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.
Requirements:
- 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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Finance, Engineering, and Information Technology
Industries
- Investment Management, Investment Banking, and Financial Services
Referrals increase your chances of interviewing at Mondrian Alpha by 2x
#J-18808-Ljbffr
Quantitative Developer/Researcher – Tier 1 Hedge Fund - Systematic Fixed Income Buildout – Disc[...] 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 – Disc[...]
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at hedge funds or in quantitative roles. A friendly chat can lead to insider info and even referrals that could get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to algorithmic trading or data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and quantitative analysis. Practice common algorithms and data structures, and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Developer/Researcher – Tier 1 Hedge Fund - Systematic Fixed Income Buildout – Disc[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Developer/Researcher. Highlight your experience in algorithmic trading systems and your programming skills in Python and KDB/Q. We want to see how your background aligns with the job description!
Showcase Your Skills: Don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve designed data engineering tools or built scalable data pipelines. This will help us understand your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic trading and how you can contribute to building out our platform. We love seeing enthusiasm and a clear understanding of the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us. Let’s get started on this exciting journey together!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and KDB/Q, as these are crucial for the role. Brush up on your knowledge of parallel computing frameworks too, as they’ll likely come up during technical discussions.
✨Understand Systematic Trading
Familiarise yourself with systematic trading concepts, especially in fixed income relative value and macro strategies. Being able to discuss how you can contribute to building the systematic platform will impress the Portfolio Manager.
✨Showcase Your Problem-Solving Skills
Prepare examples of past challenges you've faced in algorithmic trading systems. Highlight your problem-solving process and how you resolved issues in real-time, as this is key for ensuring seamless trading operations.
✨Communicate Clearly and Confidently
Practice articulating complex ideas simply and clearly. Strong communication skills are essential, so be ready to explain your thought process and how you navigate complex systems during the interview.