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- Tasks: Develop mathematical models and automated trading strategies using advanced statistical methods.
- Company: DRW is a leading trading firm with over 30 years of experience in global markets.
- Benefits: Enjoy autonomy, innovative culture, and access to cutting-edge technology and resources.
- Why this job: Join a collaborative team that values curiosity and original ideas while making a real impact.
- Qualifications: Pursuing a degree in a technical field, with skills in programming and machine learning.
- Other info: No prior finance experience needed; training provided for success.
The predicted salary is between 36000 - 60000 £ per year.
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a Quantitative Researcher, you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful.
How you will make an impact
- Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques
- Assist software developers to translate research strategies into production software
- Optimize the order execution and risk management of our trading system
- Create robust solutions to problems presented in the trading environment
- Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
- Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas
You will be right at home if you have…
- A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2025 and September 2026 (Bachelor’s, Master’s, PhD)
- A curiosity for model development and experience handling large data sets
- Expertise in programming using Python, R, MATLAB, or C++ for conducting research
- Can advocate for your beliefs in a concise and effective way with the team
- Significant hands-on experience applying machine learning algorithms to real world problems
- Strong problem-solving and statistics skills
- The proactive ability to take the lead on assignments and deliver practical research results in a timely manner
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’snot 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.
For more information about DRW\’s processing activities and our use of job applicants\’ data, please view our Privacy Notice at https://drw.com/privacy-notice .
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Quantitative Researcher employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your genuine interest in the field.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend relevant meetups or webinars where you can connect with current researchers or traders. This could provide you with insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in Python, R, or MATLAB. Consider working on personal projects or contributing to open-source projects that involve data analysis or machine learning to demonstrate your practical experience.
✨Tip Number 4
Prepare to discuss your problem-solving approach. Think of specific examples where you've tackled complex problems using statistical methods or machine learning techniques. This will help you stand out as a candidate who can deliver practical research results.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Quantitative Researcher. Familiarise yourself with the key skills mentioned in the job description, such as statistical analysis, machine learning, and programming languages like Python or R.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your technical background, any projects involving data analysis, and your proficiency in programming languages. Use specific examples to demonstrate your problem-solving abilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and your curiosity for model development. Mention how your background and skills make you a great fit for the role, and express your enthusiasm for contributing to the team at DRW.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a quantitative research role.
How to prepare for a job interview at DRW
✨Showcase Your Technical Skills
As a Quantitative Researcher, you'll need to demonstrate your expertise in programming languages like Python, R, MATLAB, or C++. Be prepared to discuss specific projects where you've applied these skills, especially in handling large data sets and implementing machine learning algorithms.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities and statistical knowledge. Practice explaining your thought process clearly and concisely, as this will show your analytical skills and how you approach complex challenges.
✨Understand the Role of Collaboration
The research team values collaboration, so be ready to discuss how you've worked with others in the past. Highlight experiences where you contributed to idea generation or strategy development, and express your enthusiasm for working in a team-oriented environment.
✨Demonstrate Curiosity and Initiative
Show your passion for model development and quantitative analysis by discussing any independent projects or research you've undertaken. This will reflect your proactive nature and curiosity, which are essential traits for success in this role.
