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Risk Analytics – Quantitative Developer

Morgan Stanley

Budapest, HungaryOn-siteMid-levelPosted Nov 2, 2026
€51,000 total comp
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Job description

How can models and analytical tools give actionable insight into where risk is concentrated? As a quantitative developer in the Risk Analytics team, you will have an opportunity to understand how cutting-edge technologies, such as AI/ML, can be leveraged for risk management purposes

We offer:

  • Flexible working arrangements (core hours and opportunity to work from home)
  • Opportunity to learn about how quantitative modeling techniques are applied to financial products and markets
  • Inclusive and welcoming environment
  • Contingent/Leased assignment working onsite at Morgan Stanley
  • Contract via a third-party agency

You will:

  • Collaborate and interact with risk managers, model reviewers or other internal and external stakeholders
  • Collaborate with teams across the globe

You will also:

  • Design and implement cutting-edge software libraries/APIs, development and execution environments for quantitative model developers and risk managers
  • Design AI tools that enhance the efficiency of the Firm’s risk management processes and help risk managers to gain new insights

You have:

  • A degree in a quantitative field such as Information Technology, Finance, Economics, Mathematics, Mathematical Finance, Physics or Engineering
  • 1-3 years of relevant experience
  • Strong software design and development skills in Python
  • Proficiency or a strong interest towards software development skills, such as SQL usage and data visualization
  • A thorough knowledge of applicable domains of mathematics and statistics is preferred
  • An internal drive to challenge and improve models with quantitative methods
  • Clear thinking, good business sense and judgment
  • Genuine and broad interest in financial markets and derivatives
  • Strong interpersonal and communication skills
  • Excellent command of English both written and verbal

Team Profile:

The Risk Analytics team has global responsibility to develop and maintain scenario design, credit, market and liquidity models and analytical solutions for the management of credit, market and liquidity risk exposure arising from the Firm’s business activities. The group also provides support for internal clients with quantitative analyses and solutions.

About us:

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.

At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our state-of-the-art offices near the Danube.

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