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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, dynamic work environment, and opportunities for professional growth.
- Why this job: Make an impact in global markets using cutting-edge technology and data analysis.
- Qualifications: Degree in a quantitative field and experience with AI and large datasets.
- Other info: Collaborative team atmosphere with a focus on integrity and high expectations.
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.
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
- Translate business needs into data science projects
- 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
Qualifications:
- 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
- Strong collaborative intent, strong outcome driven focus
- Positive, team focused attitude
Quantitative Researcher - Commodities in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Commodities in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at DRW. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with AI and large datasets. Share specific examples of how you've tackled real-world problems – it’ll show them you’re the right fit for their team!
✨Be Ready to Pivot
In the fast-paced world of trading, adaptability is key. Be prepared to discuss how you've quickly adjusted your strategies in the past. This shows you're not just a one-trick pony but someone who thrives in dynamic environments.
✨Apply Through Our Website
Don’t forget to apply directly 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 - Commodities in London
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 our needs!
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. Don’t forget to mention your experience with AI and LLMs, as that’s a big plus for us.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's developing trading strategies or building predictive models, we love to see concrete examples of your work and how you’ve tackled real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at DRW
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to handle large datasets and complex models. Brush up on your statistical knowledge and be ready to discuss specific examples of how you've used data analysis in previous roles. This will show your technical prowess and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world business problems you've solved using quantitative methods. Think about specific challenges you faced, the strategies you implemented, and the outcomes. This will demonstrate your ability to apply your skills effectively in a trading environment.
✨Communicate Clearly
You'll need to explain complex ideas to various stakeholders, so practice articulating your thoughts clearly and concisely. Consider doing mock interviews with friends or colleagues where you explain your past projects and findings. This will help you convey your expertise without overwhelming your audience.
✨Be Ready to Collaborate
DRW values teamwork, so be prepared to discuss how you've worked with others in the past. Highlight experiences where you collaborated on projects, shared insights, or contributed to team success. This will show that you're not just a lone wolf but someone who thrives in a collaborative environment.