At a Glance
- Tasks: Design and backtest bespoke quantitative solutions for clients in finance.
- Company: Join MerQube, a fast-growing fintech leader in quantitative investment strategies.
- Benefits: Gain hands-on experience in a dynamic environment with mentorship opportunities.
- Other info: Diverse and inclusive team culture, perfect for aspiring innovators.
- Why this job: Make an impact in the world of finance while working with cutting-edge technology.
- Qualifications: Pursuing a degree in quantitative fields; strong Python skills are a must.
The predicted salary is between 500 - 1500 £ per month.
MerQube is a fintech company specializing in index creation and systematic investing, with offices in New York, San Francisco, London, and Bangalore. Founded in 2019, MerQube has quickly become a key player in Quantitative Investment Strategies (QIS), leveraging a cloud-native technology platform to calculate more than 10,000 indices daily for leading institutions across both the sell side and buy side.
Role Overview
MerQube is seeking a Quantitative Researcher (Intern) to join its Research team in London, UK. You will work at the intersection of quantitative finance, technology, and product innovation, contributing directly to client-facing solutions and the development of new systematic investment strategies.
Key Responsibilities
- Design, backtest, and present bespoke quantitative solutions tailored to clients’ investment objectives
- Research, implement, and evaluate asset pricing and risk models (e.g., volatility and derivatives-related models)
- Design, prototype, and commercialize new index and systematic strategy ideas
- Support the Sales team with ad-hoc quantitative analysis on existing products and strategies
- Author research reports used in client discussions and marketing materials
- Contribute to the expansion and scalability of the team’s codebase
Desired Skills & Qualifications
- Pursuing degree in quantitative fields, such as mathematics, physics and economics.
- Strong interest in quantitative investing and financial technology
- Understanding of quantitative finance, with experience in derivatives modelling and/or machine learning a plus.
- Strong Python programming skills; experience with SQL is a plus
- Familiarity with large datasets, databases, and alternative data sources
- Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences
Our commitment to diversity
MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board! This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Quantitative Researcher (Intern) employer: MerQube Inc
MerQube is an exceptional employer for aspiring quantitative researchers, offering a dynamic work environment in the heart of London. With a strong focus on innovation and collaboration, employees benefit from hands-on experience in cutting-edge fintech solutions while enjoying opportunities for professional growth and development. The company's commitment to diversity and inclusion further enhances its vibrant culture, making it an ideal place for those seeking meaningful and rewarding careers in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher (Intern)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MerQube on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a case study related to quantitative finance that you can discuss during interviews. This will demonstrate your passion and expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills, and be ready to tackle some coding challenges. We all know how important these skills are for a Quantitative Researcher.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at MerQube.
We think you need these skills to ace Quantitative Researcher (Intern)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Researcher role. Highlight any relevant projects or coursework in quantitative finance, programming, or data analysis to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative investing and how your background makes you a great fit for MerQube. Be genuine and let your personality come through.
Showcase Your Technical Skills:Since we're looking for strong Python programming skills, make sure to mention any relevant coding projects or experiences. If you've worked with SQL or large datasets, don't forget to include that too – it could set you apart from other candidates!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at MerQube!
How to prepare for a job interview at MerQube Inc
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around asset pricing and risk models. Be ready to discuss any relevant projects or coursework that showcases your understanding of these concepts.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to talk about your experience with Python in detail. Bring examples of code you've written or projects you've completed that demonstrate your ability to handle large datasets and implement quantitative solutions.
✨Communicate Clearly
You’ll need to explain complex ideas to both technical and non-technical audiences. Practice simplifying your explanations and think of ways to make your points clear and engaging. This will help you stand out during the interview.
✨Research MerQube
Familiarise yourself with MerQube’s products and their approach to systematic investing. Understanding their technology platform and recent developments in the fintech space will show your genuine interest and help you ask insightful questions during the interview.
