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Model Application Developer

ExperiencedNo visa sponsorship
Morgan Stanley logo

at Morgan Stanley

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**Director-Level Model Application Developer in Finance Tech** Design and develop apps for financial forecasting in Morgan Stanley's newly forming Budapest team. Build robust data pipelines, improve forecasting tools, and integrate AI capabilities. Leverage advanced data platforms and modern engineering practices. Requires 6+ years in Java/Scala, data pipeline experience, and foundational data science knowledge. Collaborate in an agile, global team, with strong communication skills. Prior finance exposure is advantageous.

Compensation
Not specified

Currency: Not specified

City
Budapest
Country
Hungary

Full Job Description

We're seeking someone to join our team as a Model Application Developer in Finance Technology to join a newly forming team in Budapest that is building a modern forecasting platform used across Finance at Morgan Stanley. In this role you will: help design and develop applications and data workflows that power financial forecasting, work with large datasets, build robust model pipelines, and create tools that improve how forecasts are produced, analysed, and maintained, and help introduce AI-enabled capabilities.


In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Model Application Developer position at Director level, which is part of the job family responsible for delivering innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms, modern engineering practices, and is a pioneer in leveraging GenAI for finance productivitybuilding innovative solutions for automation and efficiency.

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:

  • Build and enhance systems that support financial forecasting and analysis.

  • Develop reliable data pipelines, services, and workflows for model execution.

  • Translate business needs into practical, scalable technical solutions.

  • Improve and automate manual processes to increase efficiency and accuracy.

  • Contribute to AI-driven features that make forecasting more efficient, scalable, intelligent and user-friendly.

  • Ensure high standards for code quality, testing, performance, and maintainability.

  • Troubleshoot issues across data, processing, and application layers, and implement long-term fixes.

  • Work closely with partners across Finance and Technology in an agile, collaborative environment.

  • Create clear technical documentation to support ongoing development and operational excellence.

  • Continuously learn new tools and technologies and share knowledge with the team.


What you'll bring to the role:

  • Bachelors degree in computer science/ engineering/ related field, or equivalent practical experience.

  • 6+ years of object-oriented coding experience (preferably Java or Scala).

  • Strong knowledge of DBs (relational/ NoSQL) and query languages.

  • Hands-on experience with AI tools that accelerate code development or with agentic solutions that solve real-world problems.

  • Experience with building data pipelines, orchestration services, and automation.

  • Foundational data science knowledge - ability to work with structured data, apply basic statistical concepts, and understand data quality principles.

  • Strong software engineering, analytical, design and problem-solving skills.

  • Understanding of the software development lifecycle and agile methodologies.

  • Strong written and verbal communication skills (technical and business) to work collaboratively in a global team environment.

  • Dynamic, flexible, eager, solution-oriented and adaptable to changing priorities.

  • Prior exposure to the finance or investment banking domain is an advantage.

#BPTECH #LI-hybrid #LI-FT1

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.

Model Application Developer

Compensation

Not specified

City: Budapest

Country: Hungary

Morgan Stanley logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at Morgan Stanley

ExperiencedNo visa sponsorship

**Director-Level Model Application Developer in Finance Tech** Design and develop apps for financial forecasting in Morgan Stanley's newly forming Budapest team. Build robust data pipelines, improve forecasting tools, and integrate AI capabilities. Leverage advanced data platforms and modern engineering practices. Requires 6+ years in Java/Scala, data pipeline experience, and foundational data science knowledge. Collaborate in an agile, global team, with strong communication skills. Prior finance exposure is advantageous.

Full Job Description

We're seeking someone to join our team as a Model Application Developer in Finance Technology to join a newly forming team in Budapest that is building a modern forecasting platform used across Finance at Morgan Stanley. In this role you will: help design and develop applications and data workflows that power financial forecasting, work with large datasets, build robust model pipelines, and create tools that improve how forecasts are produced, analysed, and maintained, and help introduce AI-enabled capabilities.


In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Model Application Developer position at Director level, which is part of the job family responsible for delivering innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms, modern engineering practices, and is a pioneer in leveraging GenAI for finance productivitybuilding innovative solutions for automation and efficiency.

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:

  • Build and enhance systems that support financial forecasting and analysis.

  • Develop reliable data pipelines, services, and workflows for model execution.

  • Translate business needs into practical, scalable technical solutions.

  • Improve and automate manual processes to increase efficiency and accuracy.

  • Contribute to AI-driven features that make forecasting more efficient, scalable, intelligent and user-friendly.

  • Ensure high standards for code quality, testing, performance, and maintainability.

  • Troubleshoot issues across data, processing, and application layers, and implement long-term fixes.

  • Work closely with partners across Finance and Technology in an agile, collaborative environment.

  • Create clear technical documentation to support ongoing development and operational excellence.

  • Continuously learn new tools and technologies and share knowledge with the team.


What you'll bring to the role:

  • Bachelors degree in computer science/ engineering/ related field, or equivalent practical experience.

  • 6+ years of object-oriented coding experience (preferably Java or Scala).

  • Strong knowledge of DBs (relational/ NoSQL) and query languages.

  • Hands-on experience with AI tools that accelerate code development or with agentic solutions that solve real-world problems.

  • Experience with building data pipelines, orchestration services, and automation.

  • Foundational data science knowledge - ability to work with structured data, apply basic statistical concepts, and understand data quality principles.

  • Strong software engineering, analytical, design and problem-solving skills.

  • Understanding of the software development lifecycle and agile methodologies.

  • Strong written and verbal communication skills (technical and business) to work collaboratively in a global team environment.

  • Dynamic, flexible, eager, solution-oriented and adaptable to changing priorities.

  • Prior exposure to the finance or investment banking domain is an advantage.

#BPTECH #LI-hybrid #LI-FT1

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.