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2023 Quantitative Finance Program - Masters (New York)

Morgan Stanley
New York City, USA
Gepostet vor 23 Tagen Praktika & Trainee Programm Competitive
2023 Quantitative Finance Program - Masters (New York)
PLACEMENT AND DURATION
The Quantitative Finance Full Time Program offers opportunities across a range of teams. These teams are primarily embedded within the Firm's Institutional Securities Group and Wealth Management organizations and provide critical quantitative solutions for the businesses they support including Bank Resource Management, Fixed Income, Global Capital Markets, Institutional Equity, Research, and Wealth Management divisions. As a direct team placement program, new Associates are made aware of team placement at the time of their offer, and will begin making an impact on day one.

TRAINING PROGRAM
All Full Time Associates will participate in the classroom-based Quantitative Finance training program, which is held in the summer and which provides an institutional contextualization to the work that Full Time Associates will be doing through market-knowledge training, finance workshops, coding and product training. Program Associates will also receive significant on-the-job coaching working alongside managers and mentors.

RESPONSIBILITIES
Morgan Stanley operates several teams which require experts in statistical analysis, applied mathematics, computer science and computational finance. These teams operate our leading trading platforms, market making operations and derivative structuring, pricing and risk management. The mathematical problems arising in these areas are subtle, complex and require a broad range of technical skills. As a Full Time Associate, you will leverage the technical expertise you have been grooming in your academic studies, and apply it to extremely applied problems. Many of the applied problems and processes that you will work on are still unsolved and are yet to be optimized.

QUALIFICATIONS/ SKILLS/ REQUIREMENTS
• You are pursuing a Master's or PhD degree in Financial Engineering, Mathematics, Financial Math, Physics, Statistics, Engineering, Quantitative Finance, Computer Science, or other related quantitative field.
• You are completing your degree between December 2022 and Spring 2023.
• You have excellent programming skills in C++, Java, Matlab, Python, R or Scala.
• You have strong mathematical academic training.
• You have a keen interest in financial markets.
• You have the drive and desire to work in an intense team-oriented environment.
• You have excellent decision-making abilities.
• You have strong communication skills

Job ID  12929-2023
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