🚀 Internship
2024 Quantitative Finance Off-cycle Internship - London
Morgan Stanley
•
20d ago
🚀 Off-cycle Internship
London
AI generated summary
- Curiosity, creativity, strong background in math or related field, interest in financial markets, ability to problem solve, effective communication, Masters or PhD degree.
- The candidate will work closely with trading desks to develop, implement, and enhance automated trading strategies, pricing models, risk calculations, and systematic trading strategies using advanced technological and quantitative skills within a dynamic market-driven environment.
Description
- The Morgan Stanley Quantitative Finance Off-Cycle Internship Program in London runs for six months and is aimed at students who are required to complete a long-term internship as part of their studies or have already graduated. It is designed to help you explore opportunities within Quantitative Finance by working with desk strategists to evolve into an integral member of the team.
- Quantitative Finance Associate Strategists are placed in a strategists (‘strats’) team related to their specialism, but will typically be partnered with particular business lines or desks to work on specific projects or models.
- 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.
Requirements
- 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 have or are studying towards a Masters or PhD level degree
- Please only submit a CV and Covering Letter as part of your application.
- Please note that you will be required to do a coding assessment as part of your application.
Education requirements
Currently Studying
Masters
PhD
Area of Responsibilities
Data
Banking & Finance
Responsibilities
- 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.
- Quant Developers Strategists use advanced technological and in some cases quantitative skills to productionize models, manage and maintain code libraries and rapidly develop innovative trader tools. They work closely with IT, other Strat functions and business lines to integrate new technologies in order to enhance pricing and risk calculations.
- Quant 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.
- Quant Trading 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.
Details
Work type
Full time
Work mode
office
Location
London