Model Risk Analyst (Equity Pricing Model Validation)

We offer: The chance to work in the Risk department of one of the world's top tier Financial Institutions and gain first-hand insight into our businessA supportive and vibrant multinational environmentAn endless amount of interesting, complex business challengesA chance to influence a talent agenda that impacts over 80K employeesA collegial atmosphere to deliver innovative solutions supported by a world-class teamAn opportunity to drive true, global business changeContingent/Leased assignment working onsite at Morgan StanleyContract via 3rd party agencyYou will:

Review, test, challenge and independently implement pricing models used by the Equity Trading Business Produce written model review reports Conduct on-demand analyses of model performance. Participate in the model control and model risk management processes of the Firm Identify model risk issues and escalate to management. Work as part of a global teamYou have: Master’s or Ph. D.

degree in Mathematics, Mathematical Finance, Physics, Engineering, Finance, Economics or a related quantitative field 0-5 years of experience with derivative pricing model validation or development Stochastic calculus knowledge Genuine and broad interest in financial markets; internal drive to effectively challenge and improve models with a quantitative and practical mindset. Clear thinking, good business sense and judgment Strong interpersonal and communication skills Experience with programming in a high-level language such as Python is a plus. You might also have: In-depth knowledge of mathematical finance, derivative pricing, and numerical/quantitative techniques for derivative valuation Experience in Equity pricing models Team profile:

The Model Risk Management group is part of the Global Firm Risk Management (FRM) department of Morgan Stanley and it has global responsibility for the independent risk control, review and validation of models used by Morgan Stanley. These include pricing models for derivatives in all asset classes, as well as models used for counterparty credit risk (CVA), market risk, credit risk, operational risk, wealth management products, and capital and liquidity stress tests. In addition to traditional methodologies, MRM also reviews AI and ML models, and GenAI solutions.

MRM professionals in New York, London, Budapest, Frankfurt, Mumbai and Tokyo work closely with business capital, risk analytics, risk managers and financial controllers. The Budapest team works closely with other members of the Model Risk Management group on model issues across all asset classes globally. 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 and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center.