2019 Quantitative Finance Full Time Associate Programme – E-Trading (London)
Placement and Duration
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. This role is in Institutional Equities Division within the Electronic Trading Strategists team. You can expect to take on significant responsibility as soon as you start. You will work directly with clients and/or 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.
Training includes on-the-job training and one-on-one sessions to familiarize you with the Firm's data resources and analytical tools. The curriculum covers market knowledge and product and technical training. Throughout the Program, you will be continually exposed to management, and you will benefit from networking opportunities with peers and colleagues. You will also be assigned a mentor to ease your transition into the corporate environment by offering career guidance, serving as a sounding board, and helping connect you to the broader Morgan Stanley network.
Strategists typically work very closely with desks across all business lines and are commercially driven and revenue focussed.
Electronic Trading Strategists design, build, implement, back-test and measure intelligent automated trading components and systematic trading strategies. Working closely with Quantitative Trading Strategists and individual trading desks, they bring efficiencies and quantitative edge to existing business processes and are able to rapidly provide new solutions and support within a rapidly changing market-driven environment.
Salary is competitive with excellent benefits.
Qualifications/ Skills/ Requirements
• You must have obtained a PhD, or be due to obtain one this year, in a technical field such as Computer Science, Physics or Mathematics
• Proficient programme skills in at least one language (preferably two) e.g. Java, C (C#, C++) or Python
• You have a keen interest in the financial markets and the drive and desire to work in a fast-paced, team-oriented environment
• You are able to communicate effectively in both written and verbal English
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 an application is 31 January 2019
This Program is closed to applications.