Morgan Stanley
Firm Risk Management

Quantitative Risk Summer Analyst

apply for the program

Placement and duration

• A 10 week Summer Analyst Program beginning in June 

• An intensive hands-on introduction to Financial Services and Risk Management at Morgan Stanley 

• In-depth exposure to a specific Risk Management stripe such Risk Analytics or Model Risk Management

• Opportunities to take on meaningful and challenging projects with real day-to-day impact

• Classroom training covering product and industry knowledge, soft skills and teambuilding activities

• In addition to the formal training, Summer Analysts receive on-the-job training, a peer buddy, senior leader mentorship, networking opportunities and weekly educational forums with Senior Management in the division

• Diverse culture and commitment to providing and supporting an inclusive workplace for all employees


Solve puzzles, provide insights and develop creative solutions that impact the department and Firm. This will be achieved through one or more of the following activities:  

Model Development

• Research, develop, enhance and document risk models, methodologies and tools for regulatory and risk management purposes 

• Perform analysis including back-tests, stress tests, scenario and sensitivity analyses

• Program, test and implement quantitative financial methods using tools such as Python, C++, VBA, R, MATLAB and SQL 

• Utilize advanced statistics, econometrics and mathematics skills such as probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis

• Partner with Technology on model testing, implementation and production

• Provide documentation and responses to regulators and internal validators, contributing to regulatory exams and projects

Model Validation

• Provide independent review and validation of Firm models, for example equity derivative pricing and risk capital models, using tools such as Python, C++, VBA, R, MATLAB and SQL 

• Collaborate with teams within the Firm to provide regular ongoing model performance assessments. Review analysis results with senior management and provide recommendations

• Learn about the Firm’s governance framework for models used in all divisions

• Write high-quality model review documentation that satisfies the Firm’s internal model approval functions, audit requirements, and the Firm’s regulators (e.g. FRB, OCC, and PRA)


Qualifications/ Skills/ Requirements

• Strong technical skills in Python, C++, VBA, R, MATLAB and/or SQL 

• Understanding of complex financial products (derivatives, options, swaps, etc.), financial markets and key regulations

• Outstanding communication skills; able to present complex issues verbally and in writing 

• Analytical thinking and problem solving skills

• Self-starter and highly organized 

• Intellectual curiosity

• Minimum cumulative GPA of 3.0

• In penultimate year of study toward a degree; Master's or Doctoral students in a quantitative field (Financial Engineering, Statistics, Physics, Mathematics, Engineering, etc.) are strongly preferred


Morgan Stanley New York

Founded in New York City in 1935, Morgan Stanley has evolved into one of the world's foremost financial institutions, with more than 55,000 employees in 43 countries. Our New York headquarters offers the finest in financial thinking, products and execution to individual investors, companies, institutions and government agencies. We offer our clients the personalized attention and service of a boutique, the intelligence and creativity of the brightest professionals in the industry and the global resources of Morgan Stanley.

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Application Process & Deadlines

Students must apply online at

Learn more about Our Recruitment Process