At a Glance
- Tasks: Research trading signals using data, build models, and analyse results.
- Company: Leading systematic trading firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and hands-on experience.
- Other info: Great opportunity for ambitious graduates to grow in a fast-paced industry.
- Why this job: Dive into real trading challenges and make an impact with your coding skills.
- Qualifications: Technical degree and strong coding skills in Python, C++, or Java.
The predicted salary is between 30000 - 40000 £ per year.
- Research Developer - Graduate
- Amsterdam, London, Chicago or New York
Quant Capital is working with a leading systematic trading firm looking for a graduate Research Developer to join its trading research team.
This is a role for someone who wants to work on real trading problems, using statistics, machine learning and code to find signals in noisy market data.
You will be working with quantitative researchers on ideas that can move from research into live automated trading.
The focus is practical research. You will test hypotheses, build models, analyse results and help turn good ideas into robust trading strategies.
The role
- Research predictive signals using large, noisy financial datasets
- Build and test models for automated trading strategies
- Write production-quality code in Python, C++ or Java
- Analyse strategy performance and understand what is driving results
- Work with researchers to move ideas from prototype to live trading
- Improve datasets, tools and research workflows
- Take ownership of work from initial idea through to measured outcome
- What we are looking for
- Graduate from a highly technical degree such as computer science, maths, statistics, engineering or physics
- Strong knowledge of statistics, probability or machine learning
- Solid coding ability in Python, C++ or Java
- Genuine interest in systematic trading and markets
- Comfortable working with messy real-world data
- Ambitious, practical and focused on results
- Low ego and happy working both independently and in a small team
- Useful experience
- Internship in quant research, trading, data science or software engineering
- Time-series modelling, backtesting or signal research
- Machine learning applied to real-world datasets
- Personal projects involving markets, data or numerical research
This is a strong opportunity for a technically sharp graduate who wants to work close to trading, where research quality, coding ability and commercial impact are tightly linked.
All applications are handled in strict confidence.
Research Developer - Graduate in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Developer - Graduate in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Research Developer - Graduate in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Quant Capital will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Quant Capital
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Quant Capital.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Quant Capital that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
