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: Enjoy competitive pay, furnished housing, mentorship, and social events in London.
- Other info: Engage in meaningful projects and build connections through community activities.
- Why this job: Make a real impact in trading while gaining hands-on experience in a dynamic environment.
- 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.
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 employer: Quant Blueprint LLC
At DRW, we pride ourselves on fostering a dynamic work environment where innovation thrives and exceptional talent is nurtured. 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 vibrant community, comprehensive mentorship, and unique social events that enhance your professional journey. With fully furnished housing provided and opportunities for personal growth through educational courses, DRW stands out as an employer committed to your success and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Intern
✨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 open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this field.
✨Tip Number 4
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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Research Intern role. Highlight your relevant skills in statistics, machine learning, and programming. We want to see how your background aligns 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 quantitative research and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, whether academic or personal, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially with Python and data analysis.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
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. Be ready to discuss how you've applied these in your studies or projects, especially in relation to quantitative finance.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, particularly with libraries like NumPy and pandas. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and analysis.
✨Understand the Trading Environment
Familiarise yourself with the basics of trading, especially systematic equity trading and fixed income options. Being able to discuss current market trends and how they relate to your research will impress the interviewers.
✨Communicate Clearly
Since you'll need to report research results effectively, practice explaining complex concepts in simple terms. Prepare to discuss your past projects and how you communicated findings to non-technical audiences.
