2022 Firm Risk Management Summer Analyst Program-New York - Quantitative Risk Analysts

·        A 10 week Summer Analyst Program beginning in June

·        A comprehensive hands-on introduction to Financial Services and Risk Management at Morgan Stanley

·        In-depth exposure to either 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: 

 

·        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 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

 

 

·        A 10 week Summer Analyst Program beginning in June

·        A comprehensive hands-on introduction to Financial Services and Risk Management at Morgan Stanley

·        In-depth exposure to either 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: 

 

·        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 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

 

 

·        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 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)

·        Intellectually curious about risk management, financial products, markets and regulation

·        Outstanding verbal and written communication skills

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

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

·        Analytical thinking and problem solving skills

·        Self-starter and highly organized

·        Minimum cumulative GPA of 3.0

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