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- Tasks: Research and develop predictive models for equity trading strategies.
- Company: Join a leading trading firm with a culture of innovation and respect.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Collaborative team atmosphere with a focus on integrity and innovation.
- Why this job: Make an impact in the fast-paced world of quantitative finance.
- Qualifications: 2-8 years in quantitative equities and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters - it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a Quantitative Researcher to work on alpha generation, model development, and the full research pipeline for mid-frequency equity statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages - from data processing and feature engineering to backtesting and live deployment.
Key Responsibilities- Research, design, and implement predictive signals and features across global equities.
- Work with large, diverse datasets; develop robust feature engineering and point in time (PIT) data cleaning pipelines.
- Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
- Build frameworks and tools for performance attribution and ongoing live strategy monitoring.
- 2-8 years of experience in quant equities, with a primary focus on alpha research.
- Familiarity with both standard and alternative datasets used in equity stat arb strategies.
Quantitative Researcher | London, UK employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher | London, UK
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DRW on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study related to quantitative research. This will not only demonstrate your expertise but also your passion for the role.
✨Tip Number 3
Be ready for technical interviews! Brush up on your coding skills and statistical knowledge. Practice common quant interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Quantitative Researcher | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight relevant experience in alpha generation and model development, and don’t forget to showcase your skills in handling large datasets and feature engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background aligns with DRW's values of integrity and innovation. Keep it concise but impactful!
Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to list your programming languages and tools you're proficient in. Mention any experience with backtesting frameworks or analytical tools that could set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at DRW
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to have a strong grasp of data and statistics. Brush up on your quantitative skills and be ready to discuss specific models or algorithms you've worked with. Prepare to explain your thought process behind feature engineering and how you approach data cleaning.
✨Showcase Your Collaboration Skills
This role involves working closely with a Portfolio Manager and other team members. Be prepared to share examples of past collaborations, highlighting how you contributed to team projects. Emphasise your ability to communicate complex ideas clearly and how you value input from others.
✨Demonstrate Your Problem-Solving Mindset
DRW values innovation and the ability to pivot quickly. Think of scenarios where you've faced challenges in your research or model development and how you overcame them. Show that you're not just about following the status quo but are willing to challenge it when necessary.
✨Prepare for Technical Questions
Expect technical questions related to statistical arbitrage strategies and predictive modelling. Review common techniques and be ready to discuss their applications. Practising coding problems or case studies relevant to the role can also give you an edge during the interview.