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2027 Risk Management Internship Program - Quantitative (Budapest)

Bulge Bracket·Detected 47 days ago·35 open offers at Morgan Stanley

  • Internship
  • Budapest, Hungary
  • English

About the job

Login Register 2027 Risk Management Internship Program - Quantitative (Budapest)

City Budapest Education Level Bachelor's Degree Business Unit Firm Risk Management

Job description

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 – Quantitative

During this internship you will have the opportunity to get insight into how Risk Management is working at a top financial Firm. You will join the Risk Analytics or Model Risk Management teams and will be able to 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:

  • Develop, maintain and monitor the Firm’s market risk models (Value at Risk, Incremental Risk Charge and Comprehensive Risk Measure)
  • Perform econometric analyses to support methodology development, conduct sensitivity studies, assess the model behavior and stability and perform back tests
  • Develop models for portfolio analyses purpose, such as credit limit setting and loss reserve
  • Perform independent review of pricing or risk models used by Morgan Stanley

Requirements:

  • Ongoing BSc or above studies in Mathematics, Physics, Finance or Economics
  • Quantitative background, good analytical and numerical skills
  • Solid probability knowledge
  • Statistical skills especially in hypothesis testing, regression and discriminant analyses is a plus
  • 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.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.

Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .

Job Level Intern Program Off-Cycle Internship

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