Quantitative Developer - Financial Forecasting

We're seeking someone to join our FP&A team as a Quantitative Developer.

Join Morgan Stanley's Corporate FP&A team and help re-engineer how a global financial institution forecasts revenues and balance sheet. This is a high-impact opportunity for a quantitative developer, strategist, or engineering-minded modeller who wants to build scalable forecasting platforms, apply advanced analytics, and bring ML/AI-driven solutions into real business decision-making.

In this role, you will work at the intersection of Finance, Quantitative Modelling, Software Engineering, and Technology, contributing to a flagship transformation initiative that will modernize the Firm's forecasting framework. If you enjoy solving complex problems, writing robust code, and building models that move from concept to production, this role is designed for you.

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

• Design, develop, and enhance quantitative forecasting models for revenues, balance sheet, and key financial drivers
• Build scalable, production-ready solutions on modern platforms, contributing to architecture design and technical implementation
• Translate complex business and financial requirements into robust modelling frameworks and technical specifications
• Partner with Finance, Strats, and Technology teams to industrialize models and ensure performance, reliability, and maintainability
• Apply machine learning, AI, statistical modelling, and advanced analytics to improve forecasting accuracy and insight generation
• Contribute to model lifecycle activities, including documentation, governance, validation, and engagement with Model Risk teams
• Help shape the long-term evolution of forecasting infrastructure, automation, and data-driven decision-making across Corporate FP&A

What you'll bring

• Strong academic background in a quantitative or technical discipline such as Computer Science, Engineering, Mathematics, Physics, Statistics, or Quantitative Finance
• Experience in a quant developer, strategist, modelling, analytics, or software engineering role
• Strong programming skills, ideally in Scala, C++, Python, or similar languages
• Engineering mindset with experience building clean, scalable, and production-quality solutions
• Strong understanding of quantitative modelling, data structures, algorithms, or statistical methods
• Interest in financial markets, forecasting, planning, or balance sheet modelling
• Ability to break down complex problems and develop structured, practical solutions
• Strong communication skills with the ability to explain technical concepts to both quantitative and business stakeholders

Nice to have

• Experience with forecasting models, financial planning, stress testing, or risk models
• Exposure to ML/AI techniques, model deployment, or modern data platforms
• Familiarity with Finance, Treasury, Capital, or FP&A processes
• Experience working in a front-office strat, analytics, or model development environment

Why join us?

• Build high-impact forecasting models used in strategic decision-making at global scale
• Work on a major transformation initiative combining Finance, Engineering, ML, and AI
• Collaborate with talented teams across Corporate FP&A, Strats, Technology, Risk, and senior management
• Apply your coding and quantitative skills to real-world financial challenges
• Grow your career in an international environment that values technical excellence, innovation, and ownership

#BPACC #LI-hybrid #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 .

Client-provided location(s): Budapest, Hungary

Job ID: Morgan-PT-JR037158

Employment Type: FULL_TIME

Posted: 2026-08-01T18:51:56