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- Tasks: Develop trading strategies and analyse data to drive alpha generation in commodities.
- Company: Join DRW, a leading trading firm with a culture of innovation and respect.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with high expectations and excellent career advancement potential.
- Why this job: Make an impact in global markets using cutting-edge technology and your analytical skills.
- Qualifications: Degree in a quantitative field and experience with AI and large datasets.
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.
DRW are looking for an experienced Quant Researcher to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure.
Responsibilities:- Developing systematic trading strategies and alpha generating signals across commodity markets
- Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
- Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions, including the use of AI and LLMs
- Extract and organize data from a number of source options, performing quantitative analysis in support of trading
- Assist in the development of analytical tools
- Collaborate with stakeholders at each stage of project
- Communicate projects and results to audiences with different backgrounds
- Create and maintain post-trade diagnostics tools across various strategies
- A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
- Experience using AI and LLMs
- Passion and interest for a quant researcher role solving real-world business problems
- Minimum of two years' experience in alpha generating role
- Experience working with large datasets, data cleaning, preprocessing, and feature engineering
- Experience building, validating, deploying, monitoring, and updating predictive models
- Excellent programming and scripting skills
- Experience working independently and delivering results
- Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
- Positive, team focused attitude
Quantitative Researcher - Commodities employer: DRW Holdings, LLC.
Contact Detail:
DRW Holdings, LLC. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Commodities
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in commodities trading. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant research or trading strategies, make sure to highlight them during interviews. We love seeing real-world applications of your skills and how you’ve tackled complex problems.
✨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, we’re always looking for passionate individuals who are ready to make an impact in the world of trading.
We think you need these skills to ace Quantitative Researcher - Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight relevant experience, especially in alpha generation and working with large datasets. We want to see how your skills align with what we do at DRW!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. Remember, we value curiosity and innovation, so let that show in your writing.
Showcase Your Technical Skills: Don’t forget to highlight your programming and analytical skills. Mention any experience with AI and LLMs, as well as your ability to communicate complex ideas clearly. We love seeing candidates who can bridge the gap between tech and trading!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at DRW!
How to prepare for a job interview at DRW Holdings, LLC.
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to handle complex data. Brush up on your statistics and programming skills before the interview. Be ready to discuss specific projects where you've used data analysis to drive decisions or develop trading strategies.
✨Showcase Your Problem-Solving Skills
DRW values innovation and the ability to tackle real-world problems. Prepare examples of how you've approached challenges in previous roles, especially those involving large datasets or AI. Highlight your thought process and the impact of your solutions.
✨Communicate Clearly
You'll need to explain complex ideas to diverse audiences. Practice articulating your past projects and findings in simple terms. This will demonstrate your ability to collaborate with stakeholders and ensure everyone is on the same page.
✨Emphasise Teamwork and Autonomy
While DRW appreciates independent thinkers, they also value collaboration. Be prepared to discuss how you've worked both independently and as part of a team. Share experiences where you’ve successfully balanced these two aspects in your work.