At a Glance
- Tasks: Research and develop predictive signals for equity trading strategies using advanced data techniques.
- Company: Join DRW, a leading trading firm with a culture of innovation and integrity.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on autonomy and challenging the status quo.
- Why this job: Make an impact in the fast-paced world of quantitative finance and trading.
- Qualifications: 2-8 years in quantitative equities, strong Python skills, and an advanced degree in a quantitative field.
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, including data cleansing, ticker mapping, point-in-time (PIT) handling, and other dataset idiosyncrasies.
- Strong programming skills in Python; experience with SQL and distributed data environments.
- Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or related quantitative discipline.
Quantitative Researcher: Alpha Signals & Systematic Trading employer: Dormont Manufacturing Co
At DRW, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. As a Quantitative Researcher in our Chicago office, you will have the opportunity to work with cutting-edge technology and diverse datasets, while contributing to impactful trading strategies. We offer a culture of respect and curiosity, alongside ample opportunities for professional growth and development, making DRW an exceptional employer for those seeking a meaningful career in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher: Alpha Signals & Systematic Trading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with DRW employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or any relevant work. This gives you a chance to demonstrate your expertise in alpha generation and model development beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your experience with data processing and feature engineering. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining DRW and being part of our innovative team.
We think you need these skills to ace Quantitative Researcher: Alpha Signals & Systematic Trading
Some tips for your application 🫡
Show Your Passion for Quant Research:When writing your application, let your enthusiasm for quantitative research shine through. We want to see how your experience aligns with our focus on alpha generation and model development. Share specific examples of your past work that demonstrate your skills and passion!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Quantitative Researcher role. Highlight relevant experiences, especially those involving data processing and feature engineering. We love seeing how you can adapt your skills to fit our needs!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s necessary, and make sure to explain any technical terms you use. We want to understand your thought process without getting lost in the details!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it gives you a chance to explore more about DRW and what we stand for!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data
Make sure you’re well-versed in the datasets relevant to equity statistical arbitrage strategies. Be prepared to discuss your experience with data cleansing, PIT handling, and any unique challenges you've faced with alternative datasets.
✨Showcase Your Programming Skills
Since strong programming skills in Python are crucial for this role, be ready to demonstrate your coding abilities. You might even want to prepare a small project or example that highlights your proficiency in Python and SQL, especially in a distributed data environment.
✨Understand the Research Pipeline
Familiarise yourself with the full research pipeline from data processing to live deployment. Be ready to discuss how you’ve contributed to each stage in your previous roles, particularly in model development and backtesting frameworks.
✨Emphasise Collaboration
DRW values teamwork, so highlight your collaborative experiences. Share examples of how you’ve worked closely with portfolio managers or other team members to implement research infrastructure or analytical tools, showcasing your ability to thrive in a dynamic environment.
