Posted 6 days ago
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**Quantitative Research and Model Review Analyst** supports Morgan Stanley IM's global QRMR team, ensuring model/tool governance, managing lifecycle tasks, and advising model owners. Key responsibilities include: - Driving model/tool governance initiatives and control framework management. - Documenting model/tool lifecycle governance tasks and stakeholder communications. - Supporting IM Model Control Committee and risk committe updates. - Applying structured problem-solving and quantitative reasoning to meet governance needs. The role requires a Bachelor's degree (preferably Master's) in applied mathematics, strong English communication skills, and programming proficiency in R or Python. Familiarity with Generative AI and financial modeling techniques is a plus. Candidates should have 0-3 years of relevant experience. Hybrid working options available. Morgan Stanley encourages diversity and inclusion, offering competitive benefits and growth opportunities.
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Full Job Description
Morgan Stanley Investment Managements (IM) Quantitative Research and Model Review (QRMR) team has an open position at junior Analyst level in Budapest to support the global teams model control and governance initiatives.
QRMR is part of the first-line Business Unit risk management function and is responsible for developing 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 business regarding model/tool controls and requirements, communicating governance requirements and guidance clearly to stakeholders.
- 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 a Bachelors degree (Masters degree 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 communication skills in English, with the ability to collaborate and influence stakeholders across functions.
Familiarity with essential quantitative techniques used in financial models is a plus.
Knowledge and familiarity with Generative AI and experience with using LLM are a plus.
Programming skill in statistical packages such as R or Python is a 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 thats differentiated and weve 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 - arent 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, youll 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. Theres 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.
