Off-cycle Internship institutional-securities quantitative-finance-program emea

Placement and duration

The Morgan Stanley Quantitative Finance Off-Cycle Internship Program in London runs for three to six months and is aimed at students who are required to complete a long-term internship as part of their studies. It is designed to help you explore opportunities in Quantitative Finance by working with desk strategists to become an integral member of the team. Quantitative Finance Off-Cycle Interns are placed either in a specific group in Trading, Banking or Sales as a Strat or within a specific project-based team such as Modeling. The Program provides work across a range of product and sector desks. You will apply your analytical skills to help the team make strategic decisions involving capital raising, research or trading issues. Quantitative Finance Off-Cycle Interns are placed directly on a desk within the Quantitative Finance division with opportunities on the Fixed Income and Equities trading desks.

Training program

Quantitative Finance Off-Cycle Interns will complete divisional on-the-job training that features market knowledge training, a desk placement project within equity or fixed income products, and regular review meetings.

Get to Know Our Recent Recruits

Responsibilities

There are two types of roles within Quantitative Finance that Associates can assume: Desk Strategists, who are embedded within the business units, and Modelers. There are other project-based teams providing direct support of trading and banking similar to Core Analytics but with a tailored focus to certain functions such as Collateral Analysis or Structuring. Responsibilities will vary depending on role, and are listed below:

Desk Strategists provide quantitative support to the trading and sales desks to drive trading decisions, analyse and manage the risk. They also create pricing and marking models, and create trader-efficiency tools.
Market Modelers enhance Morgan Stanley's ability to take and manage risk while generating profits through mathematical finance to create effective valuation and hedging models. They will also develop and analyse investment and trading strategies.

*Salary is competitive with excellent benefits.

Qualifications/ Skills/ Requirements

You are in your penultimate or final year, studying towards a PhD or other advanced degree in a quantitative subject such as Mathematics, Financial Mathematics, Physics, Engineering, Quantitative Finance or Computer Science.
You are available for three to six months to complete the internship.
You have a strong mathematical background in an academic setting.
You have excellent computer programming skills.
You have a keen interest in the financial markets and have the drive and desire to work in an intense, team-oriented environment.
You are able to communicate effectively in both written and verbal English.

Morgan Stanley London

In 1977, Morgan Stanley opened its European headquarters in London, where it now has over 5,000 staff. Morgan Stanley is one of the preeminent financial services firms in the UK, with longstanding client relationships and a leading role in many landmark transactions. Our professionals value individual intellect as much as teamwork. We offer nimble, innovative services and products tailored to our clients’ needs.

Learn More

Application Process & Deadlines

Candidates must apply online at www.morganstanley.com/campus and are encouraged to apply early as we recruit on an ongoing basis.

The deadline to submit applications is ongoing. Applicants will be required to complete online tests within 48 hours of submitting an application. Please note we may also have some additional Off-cycle positions available throughout the year, depending on business needs.

Learn more about Our Recruitment Process

apply in this city