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2022 Quantitative Finance Off-cycle Internship (London)

Morgan Stanley
Vereinigtes Königreich, London
Gepostet vor etwa 18 Stunden Permanent Competitive
2022 Quantitative Finance Off-cycle Internship (London)
Placement/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 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 Analysts and 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.
Training Program
Training includes on-the-job training and one-on-one sessions to familiarize yourself 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. Your co-workers will include motivated experienced industry leaders as well as graduates from top Universities that enjoy solving interesting problems in a collaborative environment.
Responsibilities
Strategists typically work very closely with desks across business lines and are commercially driven and revenue focussed.
The below four profiles describe the different categories of role 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 intelligent 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.
Qualifications/Skills/Reqs
• Strong mathematical background 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
Please note that you will be required to do a coding assessment as part of your application.

Job ID  11767-2022
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