At a Glance
- Tasks: Research and develop predictive models that drive investment strategies using data analysis and machine learning.
- Company: Join a leading firm known for innovation and meritocracy in finance.
- Benefits: Competitive salary, potential bonuses, and comprehensive benefits package.
- Other info: Flexible start date and excellent career growth opportunities in London or New York.
- Why this job: Make an impact by turning data into actionable insights in a fast-paced environment.
- Qualifications: Strong numerical skills and a passion for quantitative research.
The predicted salary is between 63000 - 77000 £ per year.
Start Date: Flexible between January and September 2027
Location: London/ New York (note we have significantly more opportunities available in London)
About the programme
You will be working in a position designed for high-calibre, highly numerate individuals within our quantitative teams. We value free thinkers, and we have created a fast-paced and meritocratic environment where you will be encouraged to apply your own initiative and challenge conventional wisdom. You will be delivering on the research agenda, in addition to back testing/researching forecasts of asset returns on horizons of hours to years. We all share a tireless drive for innovation and participants tend to be one of the top students at their university. Previous associates are now involved in creating and optimising our signature systematic trading models.
As a member of our Quantitative Associate Programme you will be part of a select cohort receiving on the job training from experienced colleagues who have a matchless record of helping high performing individuals reach their true potential.
Quant Research
You will research, develop, and refine the predictive signals and models that drive our investment strategies — turning data into alpha. The work spans statistical modelling, machine learning, large-scale data analysis, and signal research: sourcing and exploring novel datasets, designing and validating trading signals, rigorously backtesting hypotheses against real market conditions, and collaborating with portfolio managers to bring the strongest ideas into production. This is an intellectually demanding role where you will push the boundaries of what our models can capture and continually sharpen our competitive advantage.
Marshall Wace is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
In accordance with New York State and New York City pay transparency laws, the annual base salary for this position is $150,000 - $165,000. Actual compensation may vary based on factors such as experience, qualifications, and location. This role may also be eligible for a discretionary bonus and benefits.
Quant Research - Quant Association Programme - 2027 in London employer: Marshall Wace Internship Programmes
Marshall Wace is an exceptional employer that fosters a dynamic and innovative work culture, providing interns with invaluable hands-on experience in cutting-edge technology projects. Located in London, our internship programme not only equips you with practical skills across various domains but also opens doors for future career opportunities, including potential full-time roles upon graduation. Join us to be part of a collaborative team that values growth, creativity, and the pursuit of excellence in a fast-paced environment.
Contact Details:
Marshall Wace Internship Programmes Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quant Research - Quant Association Programme - 2027 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 Quant Research - Quant Association Programme - 2027 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 Marshall Wace Internship Programmes 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 Marshall Wace Internship Programmes
✨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 Marshall Wace Internship Programmes.
✨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 Marshall Wace Internship Programmes that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
