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For Companies At a Glance
- Tasks: Join a dynamic team to develop and optimise trading strategies using advanced quantitative techniques.
- Company: Be part of Morgan Stanley, a leading global financial services firm known for innovation.
- Benefits: Gain hands-on experience, work closely with experts, and enjoy a collaborative, fast-paced environment.
- Why this job: This internship offers real responsibility, exposure to senior decision-makers, and the chance to impact trading strategies.
- Qualifications: Pursuing a Masters or PhD in mathematics, statistics, engineering, or computer science, graduating in 2026.
- Other info: Prepare for a coding assessment as part of your application process.
What will you do
Strategists typically work very closely with desks across business lines, are commercially driven and revenue focussed. The below four profiles describe the different categories of roles available within Strats. In many cases an individual role will encompass aspects of each.- Electronic Trading Strategists are financial and software engineers who design, implement, back-test, deploy and measure sophisticated automated trading components and systematic trading strategies. Working closely with other Strategists and trading desks, they rapidly provide new solutions and bring efficiencies and quantitative edge to existing business processes within a dynamic market-driven environment.
- Desk Strategists use statistical techniques and machine learning to develop and optimise trading strategies, tools, components and flows. Working closely with Electronic Trading Strategists and trading desks, they apply rigorous quantitative research and portfolio construction techniques to design systematic trading strategies and models.
- Modelling Strategists use applied probability and numerical analysis to create pricing models and hedging strategies that drive trading decisions. Working closely with trading desks, they enhance Morgan Stanley's ability to trade innovative products and improve the management of the Firm’s trading risk.
- Data Strategists use advanced big data, machine learning and AI techniques to facilitate data usage, analysis and commercialisation. Closely work with trading desk and technology to develop cutting edge innovative ways to improve data infrastructure, quality and control.
Qualifications
- Curiosity, creativity, willingness to bring new ideas to the table, and approach problems differently
- Background in mathematics, statistics, engineering, computer science, or related field in an academic setting
- You have a keen interest in the financial markets and the drive and desire to work in a fast-paced, team-oriented environment
- Pragmatic approach to ensuring delivery on a timely basis
- You will possess practical problem solving skills with a great attention to detail
- You are able to communicate effectively in both written and verbal English
- You will be studying towards a Masters or PhD level degree and graduating in 2026
- Please only submit a CV and Covering Letter in English only as part of your application
- You may be required to do a coding assessment as part of your application (you will be notified if this is required)
Why this job
You can expect to take on significant responsibility as soon as you start. You will work directly with desks at a senior level, applying your skills and subject-matter expertise, to help them make strategic decisions, develop quantitative edge, drive efficiencies and effect changes.2026 Quantitative Finance Off-Cycle Internship (Paris) employer: Morgan Stanley
Contact Detail:
Morgan Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Quantitative Finance Off-Cycle Internship (Paris)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your coding skills, especially in languages commonly used in finance like Python or R. Being able to demonstrate your technical abilities can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the industry through platforms like LinkedIn. Engaging with current employees or alumni can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare for potential coding assessments by practising relevant problems on platforms like LeetCode or HackerRank. This will help you feel more confident and ready to tackle any technical challenges that may arise during the selection process.
We think you need these skills to ace 2026 Quantitative Finance Off-Cycle Internship (Paris)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role of a Quantitative Finance Intern. Emphasise your background in mathematics, statistics, or computer science, and any projects or coursework that demonstrate your quantitative abilities.
Craft a Compelling Covering Letter: In your covering letter, express your keen interest in the financial markets and your motivation for applying to this internship. Mention specific aspects of the role that excite you and how your skills can contribute to the team. Be sure to keep it concise and focused.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your practical problem-solving skills and attention to detail. This could be through academic projects, internships, or personal initiatives where you tackled complex problems effectively.
Prepare for Potential Coding Assessment: Since a coding assessment may be part of the application process, brush up on relevant programming languages and algorithms. Practice coding problems that are commonly encountered in finance-related roles to ensure you're well-prepared.
How to prepare for a job interview at Morgan Stanley
✨Show Your Curiosity
Demonstrate your curiosity and creativity during the interview. Be prepared to discuss how you've approached problems differently in the past and share any innovative ideas you might have for the role.
✨Highlight Relevant Skills
Make sure to emphasise your background in mathematics, statistics, engineering, or computer science. Provide examples of how you've applied these skills in academic or practical settings, especially in relation to financial markets.
✨Prepare for Technical Questions
Since a coding assessment may be part of the application process, brush up on your coding skills and be ready to tackle technical questions. Practice explaining your thought process clearly and concisely.
✨Communicate Effectively
Effective communication is key. Practice articulating your thoughts in both written and verbal English. Be clear and concise when discussing your experiences and how they relate to the role you're applying for.
