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- Tasks: Join us as a Quantitative Trader Intern and dive into analytics and trading projects.
- Company: Morgan Stanley is a leading global financial services firm with a dynamic trading environment.
- Benefits: Gain hands-on experience, receive on-the-job training, and work alongside industry experts.
- Why this job: This internship offers real-world trading exposure and the chance to develop key analytical skills.
- Qualifications: Ideal candidates are Master's or PhD students in quantitative fields with strong Python skills.
- Other info: Work in our London office and collaborate with diverse teams on exciting trading challenges.
The 6-months Off-Cycle Quantitative Trader Program is an opportunity to experience the culture and atmosphere in the Sales & Trading division by taking on some of the responsibilities and functions of a Full Time Analyst. As a quantitative trader intern, you will be given full insight into what it takes to be part of a trading desk at Morgan Stanley. You will be responsible for producing analytics as well as ad-hoc reports and leading a diverse set of projects to improve our trading activities. You will spend your internship assigned to a specific desk and you will be based in our London office.
As a quantitative trader intern, you will be part of a team which will provide you with the opportunity to further your trading career working alongside top industry professionals.
TRAINING PROGRAM
You will receive on-the-job training and benefit from working alongside experienced professionals on a variety of projects. You will develop the analytical, quantitative and interpersonal skills that will help you succeed in the role.
RESPONSIBILITIES
We are recruiting for the following desks;
Equity Exotics trading desk- responsible for managing a complex derivative portfolio of both equity & cross-asset underlying and for providing pricing and liquidity to a wide range of institutional (Hedge Funds, Pension Funds, Insurance Companies etc.) and retail clients (private banks, distributors etc.). There are 3 sub-teams that focus on market making and risk management of products across single stocks, equity indices and cross-assets. As we cover a wide range of products from barrier options, correlation to quantitative investment strategies (QIS), our portfolios are usually sensitive to various greeks (or derivatives) and risks are dynamic requiring continuous hedging and involve different strategies and techniques. The breadth and depth of the business allows us to offer exciting opportunities to individuals who are interested in problem solving and applying their financial mathematics & quantitative knowledge to real trading scenarios. The daily tasks of an exotic trader include; market making of exotic products in both primary and secondary markets, development of market making / trading tools, interpretation and management of risks at both product and aggregated book levels such as delta, vega, rho, divrho, gamma and cross-gamma, development of quantitative risk analysis tools at product & book levels, hedging / trading in listed and broker markets, optimizing hedging strategies for illiquid risks, development of scenario analysis for macro (e.g. Fed announcements) and micro (e.g. dividends, corporate actions) market events.
Structuring desk – responsible for manufacturing Quantitative Investment Strategies (QIS), Light Exotics Products, Structured Products and complex solutions / transactions, producing content, complex derivatives pricing, client connectivity as well as product design for a wide range of Morgan Stanley customers – Private Banks, Distributors, Hedge Funds and Financial Institutions. Role requires strong quantitative academic background, preferably with a focus on financial mathematics and probability theory (Master’s degree or above) as well as good Python programming skills and ability to work with large and various financial dataset. Working closely with the Exotic Trading desk and clients, this is a great opportunity for individuals who are solution orientated and strive on problem solving in a fast-paced environment.
QUALIFICATIONS/ SKILLS/ REQUIREMENTS
You are a Master or PHD student in subjects such as Economics, Mathematics, Financial Mathematics, Physics, Engineering, Quantitative Finance or Computer Science or alike
You are a graduate of 2024 or graduating in 2025
You will have advance knowledge of Python, SQL, Excel, VBA, R or similar languages is valued
You will have an understanding of theoretical pricing models and knowledge of market products and their risks
You have a keen interest in the financial markets, economics, complex market dynamics and have the desire to work in a fast-paced environment
You will have curiosity and willingness to go beyond the basic textbook models to find trade ideas and arbitrage channels
You will have an interest in data and how to tackle diverse datasets in innovative ways
You will have an entrepreneurial mindset and possess practical problem-solving skills with a great attention to detail
You can analyse and interpret complex information quickly and accurately
You are an excellent communicator and enjoy collaboration and teamwork
2025 Institutional Equities Quantitative Trader Off Cycle Internship (London) employer: Morgan Stanley
Contact Detail:
Morgan Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2025 Institutional Equities Quantitative Trader Off Cycle Internship (London)
✨Tip Number 1
Familiarize yourself with the specific trading desk you are applying for. Research the types of products they handle, such as equity exotics or structured products, and understand the key metrics and risks involved. This knowledge will help you stand out during interviews.
✨Tip Number 2
Enhance your programming skills, especially in Python and SQL. Consider working on personal projects or contributing to open-source projects that involve financial data analysis. This practical experience can be a great talking point in your interviews.
✨Tip Number 3
Network with professionals in the industry. Attend finance-related events, webinars, or workshops where you can meet people who work at Morgan Stanley or similar firms. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on current market trends and economic news. Being able to discuss recent developments in the financial markets during your interview will demonstrate your genuine interest and understanding of the field.
We think you need these skills to ace 2025 Institutional Equities Quantitative Trader Off Cycle Internship (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant academic achievements and skills that align with the responsibilities of a quantitative trader intern. Emphasize your experience with Python, SQL, and any quantitative projects you've worked on.
Craft a Strong Cover Letter: In your cover letter, express your passion for financial markets and problem-solving. Mention specific experiences that demonstrate your analytical skills and your ability to work in fast-paced environments.
Showcase Relevant Projects: If you have completed any projects related to quantitative finance or trading, be sure to include them in your application. Describe your role, the tools you used, and the outcomes of these projects.
Highlight Teamwork and Communication Skills: Since collaboration is key in this role, provide examples of how you've successfully worked in teams. Discuss any group projects or experiences where your communication skills made a difference.
How to prepare for a job interview at Morgan Stanley
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background in quantitative subjects like Mathematics or Financial Mathematics. Highlight any relevant projects or coursework that demonstrate your analytical abilities and understanding of financial models.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with Python, SQL, or other relevant languages. Consider discussing specific projects where you utilized these skills to solve complex problems or analyze large datasets.
✨Understand Market Dynamics
Familiarize yourself with current trends in the financial markets and be prepared to discuss how they might impact trading strategies. Showing a keen interest in market dynamics will demonstrate your passion for the field and your readiness to contribute.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios or case studies during the interview. Practice articulating your thought process and problem-solving approach, especially in fast-paced environments. This will showcase your entrepreneurial mindset and practical skills.
