IRB Credit Risk Modeler Risk Analytics, Associate, Firm Risk Management

o be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al. Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred. Ability to communicate and present logically, precisely and in simple manner, complex and technical issues. Attention to details and ability to work under pressure and cope with a fast moving environment. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't 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. 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. There's 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://https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Experience in AI, ML, NLP, Big Data Analytics, PowerBI is an advantage. Graduate/ Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects.