2027 Risk Management Internship Program - Non-Quantitative (Budapest)

Location: Budapest Department: Firm Risk Management

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyse and monitor risks and lead key regulatory initiatives.

Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better

serve our clients and our communities in more than 40 countries around the world.

Risk Management Internship Program - Non-Quantitative

During this internship you will have the opportunity to gain insights into how Non-Quantitative Risk Management works at a top financial Firm. You will join the Credit Risk, Liquidity Risk, Risk Capital, Reporting, Risk Data Strategy, Market Risk or Portfolio & Stress Testing teams and work in a flexible work arrangement, 20-40 hours per week.

We offer a supportive and vibrant multinational environment in an inspiring international team, where you can experience a collaborative culture and continuous development opportunities. You can participate in the Firm’s networking events and you will have the opportunity to extend your internship, or you may take a full-time offer upon graduation.

Roles and Responsibilities

Learn how risk management is performed at Morgan Stanley

Work at the following based on the area you choose

Analyse the financial impact of stressed market conditions

Analyse variances in capital requirements

Take part in developing market and credit risk reports and processes

Provide business analysis and process improvement support

Identify, measure, and analyse the aggregate portfolio risk in stress scenarios Perform company and industry level financial analysis of Morgan Stanley’s counterparties to assess their creditworthiness Monitor key news across financial markets and relevant industries Prepare portfolio stress testing analysis of credit risk exposures on lending and derivatives products Participate in innovative projects related to data analysis, visualization, and process automation

Requirements

Financial Risk and Capital: if you are studying Finance, Economics, Business or related courses and interested in Finance Data and Reporting: if you are studying Data Science, Business Analytics, Business Informatics or related courses

Good analytical and numerical skills

Microsoft Office skills, particularly Excel

Interest in Financial markets and products

Programming and coding skills (SQL/VBA/Python) may be considered an advantage in (in Data and Reporting area)

Fluency in English, both verbal and written

If you are interested in the above opportunity, please apply here by submitting your English CV.

Applications are reviewed on a rolling basis. We encourage you to apply as soon as you are ready.

What you can expect from Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.