Morgan Stanley

Quantitative Research and Model Review Analyst

Hungary · Work style not stated · Full time

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EmployerMorgan Stanley
LocationHungary
Work styleWork style not stated
Employment typeFull time
Employer posted7 Oct 2026

Morgan Stanley Investment Management’s (IM) Quantitative Research and Model Review (QRMR) team has an open position atjuniorAnalyst level in Budapest to support the global team’s model control and governance initiatives.

QRMR is part of the first-line Business Unit risk management function andis responsible fordeveloping leading quantitative risk management solutions, as well as implementing the model control and governance framework to satisfy regulatory requirements.

Responsibilities:

Support model/tool governance initiatives, including the implementation of enhanced regulatory requirements, and contribute to model control framework management activities.

Manage model/tool lifecycle governance tasks and support the documentation process, maintaining governance records and documentation deliverables.

Serve as an advisory function for model owners across the businessregardingmodel/tool controls and requirements, communicating governance requirements and guidance clearly to stakeholders.

Show full description

Provide primary support for the IM Model Control Committee and coordinate model/tool-related updates across relevant risk committees.

Apply structured problem solving and quantitative reasoning to support model governance and control requirements.

Skills/Qualifications:

At least aBachelor’sdegree (Master’sdegree preferred) in an applied mathematics or economic discipline, such as Statistics, Engineering, Mathematical Finance, Finance, Economics, or a related field.

0-3 years of relevant professional experience is preferred.

Strong communicationskills in English, with the ability to collaborate and influence stakeholders across functions.

Familiarity with essential quantitative techniques used in financial modelsisa plus.

Knowledge and familiarity with Generative AI and experience with using LLMarea plus.

Programming skill in statistical packages such as R or Pythonisa plus.

CFA, FRM, or CEFA is a plus.

#LI-hybrid #LI-NB1 BPMM

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.

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