Risk Analytics – Quantitative Developer

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...