The Firm Risk Management Division at Morgan Stanley seeks to identify, measure, monitor and control risks, and independently assess the effectiveness and consistency of risk management processes carried out by Risk Owners and across divisional risk stripes.
This is a 10-week Summer Internship beginning in June 2024 for penultimate year students. As part of the internship, you will gain in-depth exposure to a specific Quantitative Risk Management Stripe such as Risk Analytics or Model Risk Management.
Training Programme
The internship begins with a Firmwide induction with peers from other divisions. This is followed by two days of classroom-based training covering overviews of connecting divisions, product and industry knowledge, personal effectiveness and technical training, as well as a team-building and networking activities.
You will then have a 3-day comprehensive hands-on introduction to Risk Management. In role, interns will receive considerable on-the-job training and opportunities to take on meaningful and challenging projects with real day-to-day impact. In addition to the formal experience, interns will be paired with a buddy, engage in speaker series and work-shadowing opportunities
Role and Responsibilities
You will be placed in one of the below Risk stripes and will work on projects, provide insights, and develop creative solutions that impact the department and Firm.
Model Risk Management (“MRM”) is responsible for the Firm’s model risk management framework and independently oversees model risk. As mandated by the Global Model Risk Management Policy, MRM establishes standards for the identification, development, validation, and use of models, independently validates and certifies the Firm’s models, and reports and monitors model risk in adherence to the Firm’s risk appetite
Risk Analytics (“RA”) develops credit risk analytics, market risk analytics, platform delivery risk analytics, and scenario analytics models providing quantitative analysis on the Firm’s risk exposures. By developing mathematical and statistical models with risk overlays, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations
Qualifications and Skills
You are an undergraduate student in your penultimate year of study and are on track to graduate in 2025 with at least a 2.1 honours degree or equivalent
You are studying a degree with a quantitative major such as Maths / Physics / Statistics / Econometrics / Engineering / Computer Science or a MORSE programme
You are intellectually curious about risk management, financial products, markets, and regulations
Show an ability to analyse and synthesize a variety of data to produce well-designed and meaningful summaries and reports
Familiarity with Python
Additional knowledge of SQL is beneficial but not essential
Familiarity with Microsoft Excel, PowerPoint and Word
Strong attention to detail and ability to provide information in usable formats
Application Process and Deadline
In order to be considered, candidates must apply by Sunday 26th November 2023 at 23:55 BST
Please note, we recruit on a rolling basis so completing your application as soon as possible is encouraged
To be successful to join the programme you will:
Submit an online application with cover letter by the above deadline
Complete the full recruitment process which includes online testing, 1st stage telephone interview and an assessment centre which will take place in person in our London offices
Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in 42 countries, our firm’s employees serve clients worldwide including corporations, governments, institutions and individuals.
We are committed to maintaining the first-class service and high standard of excellence that have always defined the firm and everything we do is guided by our five core values: Do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back.
