At a Glance
- Tasks: Research and develop predictive models for equity trading strategies.
- 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 atmosphere with a focus on cutting-edge technology.
- Why this job: Make an impact in the fast-paced world of quantitative finance and trading.
- Qualifications: 2-8 years in quantitative equities and strong programming skills in Python.
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 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 headquarters, you will benefit from a culture that values autonomy and integrity, while also having access to cutting-edge technology and diverse datasets to drive your research. With ample opportunities for professional growth and a commitment to challenging the status quo, DRW is an exceptional employer for those seeking meaningful and rewarding careers in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with DRW employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨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 approach to 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 by the right people at DRW. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Researcher role. Highlight your experience in alpha research and any relevant programming skills, especially in Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative research and how your background makes you a great fit for DRW. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in past roles. We love candidates who can demonstrate their analytical thinking and creativity in developing predictive signals and features.
Apply Through Our Website:We encourage you 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 shows you’re keen on joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills, especially in alpha generation and model development. Be ready to discuss your experience with large datasets and how you've tackled data cleansing and feature engineering in past projects.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Collaborate Like a Pro
DRW values teamwork, so be prepared to talk about how you've collaborated with others in previous roles. Share specific examples of how you worked with team members to implement research infrastructure or backtesting frameworks.
✨Understand the Market Landscape
Familiarise yourself with the various asset classes DRW trades in, such as equities and commodities. Showing that you understand the market dynamics and can discuss current trends will impress your interviewers and demonstrate your genuine interest in the role.
