At a Glance
- Tasks: Dive into quantitative finance, tackling complex problems with innovative research and analysis.
- Company: Join G-Research, a leading firm in quantitative finance with a collaborative culture.
- Benefits: Competitive pay, accommodation, social events, and a great work/life balance.
- Other info: Explore London and connect with fellow interns through exciting activities.
- Why this job: Gain hands-on experience in a dynamic environment while working with top-tier researchers.
- Qualifications: Strong maths skills, programming knowledge, and a passion for data science.
The predicted salary is between 22500 - 27500 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. Join a research team where curiosity meets scale.
You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers. Take the next step in your career.
The role:
- 10-week summer programme (21st June - 27th August 2027)
- 09:00-17:30 working hours
- Based in Central London
Over the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Quantitative Researcher at a leading quantitative finance research firm. You will be given a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis. Using rigorous scientific methodology, robust statistical analysis and pattern recognition, you will extract meaningful predictive signals from financial time-series and use these to predict future dynamics.
Your project will give you the opportunity to use a wide range of techniques in areas such as mathematical modelling, deep learning, optimisation and machine learning in a practical and challenging context. Additional work may involve the implementation of back-testing frameworks to ensure signal robustness or the creation of a pipeline which constructs and simulates the performance of a portfolio derived from various input signals.
Throughout the internship, you will collaborate closely with a Quantitative Researcher who will mentor you as you complete your independent project. You will receive structured feedback and reviews to help you to improve and develop, culminating in a final presentation of your research ideas to senior management.
Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to quantitative finance. You will also have the opportunity to explore London and get to know your fellow interns and colleagues through a full itinerary of social events. Top performers on the internship will be considered for full-time opportunities on completion of their studies.
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Strong mathematical background
- Intermediate level of programming in at least one object-oriented language, ideally Python or C#
- Interest in applying data science, machine learning and optimisation techniques to real-world problems
- Be in the final or penultimate year of a Masters or PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering or Computer Science, with a PhD preferred
- Active GitHub or Kaggle profiles are desirable but not essential
- Previous experience in finance is not required, but an interest in finance and a willingness to learn are essential
Why should you apply?
- Highly competitive compensation plus accommodation
- G-Research community with weekly intern activities
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave pro-rated
- Informal dress code and excellent work/life balance
- Central London office close to 5 stations and 6 tube lines
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Quant Research Internship employer: Aplaro Ltd
Baringa is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Energy & Infrastructure sector. With a strong focus on employee development, you will have access to numerous growth opportunities while working alongside industry experts on impactful projects that shape the future of energy and utilities. Located in a dynamic environment, Baringa offers a unique chance to engage with diverse clients and contribute to meaningful change in the renewable infrastructure landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Research Internship
✨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 Quant Research Internship
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 Aplaro Ltd 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 Aplaro Ltd
✨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 Aplaro Ltd.
✨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 Aplaro Ltd that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
