Senior
Morgan Stanley · Budapest, Hungary
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Audit quantitative models and model risk frameworks for a large financial firm's analytics and risk teams.
Worth knowing: Role expects 2 to 4 years relevant experience and quantitative tool skills
We're seeking someone to join our team as an Associate responsible for providing audit coverage for the Quantitative Analytics Group (Model Risk Audit) . In the Audit division, we provide senior management with an objective and independent assessment of the Firm's internal control environment for risk management and governance. This is an Associate position within our Technical Specialist function, which is responsible for providing extensive subject matter expertise and reinforcing the ability of business and technology audit teams to appropriately assess risk and determine and execute coverage. Since 1935, Morgan Stanley has been a global leader in financial services, continuously evolving and innovating to better serve clients and communities in more than 40 countries around the world. What you'll do in the role: • Execute audit coverage of valuation, market risk, credit risk, liquidity risk, capital, stress testing, financial crime, and other quantitative models used across the Firm • Assessing model governance, development, validation, implementation, monitoring, and change management processes to identify control weaknesses and emerging risks • Perform risk-based testing of model governance frameworks, controls, policies, and regulatory compliance requirements. • Review model documentation, validation reports, performance monitoring results, inventories, and quantitative data analyses. • Develop audit observations, documentation, and reports while providing effective challenge to model developers, validators, and risk management stakeholders. • Partner with business, risk, model validation, and technology teams globally to communicate audit conclusions and emerging risks. What you'll bring to the role: • Bachelor's or Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Economics, or Physics. • Knowledge of model risk management principles, quantitative modeling methodologies, and regulatory expectations. • Strong analytical and quantitative skills, including experience with Python, SQL, R, SAS, or similar analytical tools. • Ability to evaluate risks, assess controls, analyze data, and support audit execution activities. • Excellent communication and stakeholder management skills with the ability to explain technical concepts to non-technical audiences.
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