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- Tasks: Research, design, and deploy cutting-edge ML models for real-world applications.
- Company: DRW, a leading trading firm with a focus on innovation and technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture that values curiosity and integrity.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: PhD or exceptional MSc in ML or Computer Science with strong practical experience.
The predicted salary is between 60000 - 80000 ÂŁ per year.
DRW is a diversified trading firm with over 3 decades of experience that combines sophisticated technology and exceptional people 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 trade 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.
The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer‑based architectures and other state‑of‑the‑art frameworks — and the ability to turn that knowledge into high‑impact, production‑ready solutions. The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high‑dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered.
Responsibilities- Research, design, and deploy robust ML models.
- Build and maintain scalable, production‑level ML pipelines.
- Extract signals from large, noisy, real‑world datasets.
- PhD (or exceptional MSc) in ML, Computer Science, or related field.
- Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high‑performance and resilient models.
- Proven experience taking ML models from research to live production.
Quantitative Researcher - Machine Learning employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Machine Learning
✨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 ML projects, especially those related to finance. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and coding skills. Practice solving problems on platforms like LeetCode or HackerRank to get comfortable with the types of questions you might face.
✨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. Plus, it shows you’re genuinely interested in joining the DRW team.
We think you need these skills to ace Quantitative Researcher - Machine Learning
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning algorithms and any projects you've worked on. We want to see how you can turn theory into practice, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quantitative Researcher role. Use keywords from the job description to show us you’re a perfect fit for our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise in ML.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at DRW
✨Know Your Algorithms
Make sure you have a solid grasp of the core ML algorithms and recent advancements like transformer-based architectures. Be ready to discuss how you've applied these in real-world scenarios, especially if you have experience in financial markets.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed and deployed ML models. Highlight your role in building scalable pipelines and extracting signals from complex datasets. Real examples will demonstrate your hands-on experience.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of feature engineering and hyperparameter tuning. Brush up on these topics and be prepared to explain your thought process and decision-making in past projects.
✨Cultural Fit Matters
DRW values integrity, innovation, and a willingness to challenge consensus. Be prepared to discuss how your personal values align with theirs and share examples of how you've demonstrated these qualities in your work.