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- Tasks: Join a dynamic team to develop algorithms and software for trading strategies.
- Company: DRW is a leading trading firm known for innovation and technology in global markets.
- Benefits: Enjoy mentorship, training opportunities, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact in finance while working in a culture of respect and curiosity.
- Qualifications: Bachelor's in Computer Science or related field; strong skills in C++ and Python required.
- Other info: Ideal for creative technologists eager to tackle challenging problems in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ 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.
As a Research Engineer, you will be an integral member of a systematic research team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility. We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
- Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets.
- Design trading strategy simulation software optimized for distributed computation.
- Develop software for large scale data acquisition, storage, accessibility, and visualization.
- Create user interfaces for data exploration and post trade analysis.
- Accelerate the research lifecycle from strategy prototype to production deployment.
- Evaluate new technology and improve our technology stack.
What you bring to the team:
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- Excellent software development skills in modern C++ and Python.
- A strong understanding of object oriented design, data structures and algorithms.
- A strong understanding of quantitative finance mathematics.
- A solid foundation in programming with the ability to think, communicate, and code clearly.
- A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network).
- Skills in multi-threaded applications.
- An understanding of how to build software for long term use and broad adoption.
- Demonstrated ability to produce algorithmic code in a fast-paced environment.
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (London)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and algorithmic trading. Understanding the current market dynamics and technological advancements will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the trading and technology sectors. Attend industry conferences, webinars, or local meetups to connect with people who work at firms like DRW. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your programming skills through personal projects or contributions to open-source software. Highlighting your ability to develop algorithms and software solutions will demonstrate your hands-on experience and passion for technology.
✨Tip Number 4
Prepare to discuss your problem-solving approach and past experiences in a technical context. Be ready to explain how you've tackled complex challenges in previous roles, as this will illustrate your critical thinking and adaptability.
We think you need these skills to ace Research Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Research Engineer role. Emphasise your software development skills in C++ and Python, as well as any experience in quantitative finance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and finance. Mention specific projects or experiences that demonstrate your ability to solve complex problems and work in a team environment.
Showcase Technical Skills: In your application, provide examples of your programming abilities and understanding of algorithms. If you have worked on multi-threaded applications or developed trading strategies, be sure to include these details.
Highlight Continuous Learning: Mention any ongoing education or training you have pursued in technology or finance. This shows your commitment to personal growth and staying updated with industry trends, which is valued by DRW.
How to prepare for a job interview at DRW
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++ and Python in detail. Bring examples of projects where you've implemented algorithms or developed software, as this will demonstrate your technical prowess and problem-solving abilities.
✨Understand Quantitative Finance
Brush up on your knowledge of quantitative finance mathematics. Be ready to explain how you would apply these concepts in real-world scenarios, especially in relation to trading strategies and simulations.
✨Demonstrate Your Problem-Solving Approach
During the interview, articulate your thought process when tackling complex problems. Discuss how you approach challenges, particularly in a fast-paced environment, and provide examples of how you've successfully navigated similar situations in the past.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology stack and research processes. This shows your genuine interest in the role and helps you understand how you can contribute to the team effectively.
