At a Glance
- Tasks: Solve complex trading problems using statistical algorithms and machine learning techniques.
- Company: Join a leading firm known for innovation and collaboration in quantitative research.
- Benefits: Gain real-world experience, mentorship, and fully furnished housing in London.
- Other info: Engage in meaningful projects and enjoy social activities throughout the internship.
- Why this job: Make an impact in the trading world while exploring the vibrant city of London.
- Qualifications: Pursuing a Master's or PhD in a technical field with Python programming skills.
The predicted salary is between 20000 - 30000 £ per year.
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern, you will have an opportunity to solve challenging problems arising in a trading environment while utilising the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory. The teams focus on non‑latency sensitive investment opportunities and multi‑asset class derivatives strategies across geographies. Our teams emphasize cutting‑edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team's custom research infrastructure for simulation, back‑testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it's like to live and work in London.
How you will make an impact
- Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk.
- Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes.
- Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities.
- Work closely with traders and researchers to build and refine research infrastructure and tools.
What you bring to the team
- Are pursuing a Master's or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2025 and August 2026.
- Proficiency in Python programming experience using the Python machine learning stack: NumPy, pandas, scikit‑learn, etc.
- Proficient programming skills with experience exploring large datasets.
- Strong analytical and problem‑solving skills including a solid foundation of statistics knowledge.
- Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc.
- Some exposure to Natural Language Processing and/or High‑Performance Computing is a plus.
- Excellent written and verbal communication skills to report research results as well as methodologies.
- Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High‑Performance Computing.
What to expect during the internship
- Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real‑world work experience.
- Community: Throughout the summer, we host a variety of educational, social and team‑building activities to explore the city, foster friendships and camaraderie.
- Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible.
- Mentorship: You'll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
- Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You'll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect.
Quantitative Research Intern in London employer: Quant Blueprint LLC
At DRW, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration among exceptional individuals. As a Quantitative Research Intern in London, you will not only engage in meaningful projects that challenge your analytical skills but also benefit from a supportive community, comprehensive mentorship, and exciting social events that enhance your professional journey. With fully furnished housing provided and opportunities for continuous learning, DRW is an excellent employer for those looking to thrive in the fast-paced world of quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Intern in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Research Intern in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Research Intern role. Highlight your proficiency in Python and any relevant projects you've worked on, especially those involving statistical analysis or machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background makes you a great fit for our team. Don’t forget to mention any specific projects or experiences that relate to trading environments.
Showcase Your Analytical Skills:In your application, be sure to demonstrate your analytical and problem-solving skills. Include examples of how you've tackled complex problems in the past, particularly using statistical methods or programming techniques.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at Quant Blueprint LLC
✨Know Your Algorithms
Brush up on the latest statistical algorithms and machine learning techniques relevant to quantitative trading. Be prepared to discuss how you've applied these in your studies or projects, as this will show your practical understanding and enthusiasm for the role.
✨Showcase Your Python Skills
Make sure you can demonstrate your proficiency in Python, especially with libraries like NumPy and pandas. Consider preparing a small project or example that highlights your ability to manipulate large datasets and perform statistical analysis, as this will set you apart from other candidates.
✨Understand the Trading Environment
Familiarise yourself with the basics of trading, particularly in systematic equity and fixed income options. Being able to discuss current market trends and how they relate to quantitative methods will impress your interviewers and show that you're genuinely interested in the field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to report research results and methodologies, being able to communicate effectively is crucial. Consider doing mock interviews with friends or mentors to refine your communication skills.
