Senior AI Quantitative Analyst

Reposted 17 Days Ago
Be an Early Applicant
Budapest, HUN
In-Office
Senior level
Fintech • Financial Services
The Role
As a Senior Quantitative Analyst, you'll develop credit risk models, perform econometric analyses, conduct data analyses, and ensure compliance with regulatory requirements while collaborating globally.
Summary Generated by Built In

We’re seeking someone to join our Credit Rating Analytics team as a Senior AI Quantitative Analyst.

How can models give actionable insight into where risk is concentrated? As a Senior Quantitative Analyst in the Rating Analytics team, you will have an opportunity to understand how models are used for quantifying risk and how model results feed into capital management for regulatory and internal risk management purposes.

 

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Participate in research, development and implementation of credit risk models

  • Perform econometric analyses to support methodology development

  • Conduct on-demand analyses of model changes

  • Perform data analyses for various purposes

  • Contribute to projects centered around the latest updates of regulatory requirements

  • Understanding and utilizing AI driven tools and solutions

  • Collaborate with teams across the globe

 

What you'll bring to the role:

  • A degree in a quantitative field such as Finance, Economics, Mathematics, Mathematical Finance, Physics, Computer Science or Engineering

  • A thorough knowledge of mathematics and statistic and an internal drive to challenge and improve models with quantitative methods

  • Working experience in GenAI (LLMs and their applications), Machine Learning, Artificial Intelligence, or Natural Language Processing in either model development or model validation.

  • Clear thinking, good business sense and judgment

  • Genuine and broad interest in financial markets and derivatives

  • Strong programming skills and demonstrable experience in coding numerical methods and algorithms, data analysis, and manipulation with strong knowledge of at least one prototyping programming language (preferably Python)

  • The ability to effectively communicate with a wide range of stakeholders, excellent command of English both written and verbal

#LI-hybrid #BPMM #LI-JL1

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.

Skills Required

  • A degree in a quantitative field such as Finance, Economics, Mathematics, Mathematical Finance, Physics, Computer Science or Engineering
  • Working experience in GenAI, Machine Learning, AI, or NLP in model development or validation
  • Strong programming skills in coding numerical methods and data manipulation, preferably in Python

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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