Job DescriptionRisk Analytics has an opening for an associate-level person to work on model development. The successful candidate will work extensively with credit risk models involving IRB approaches, CCAR and CECL. The successful candidate will have strong analytical skills, an excellent work ethic and a high degree of interest in both quantitative and non-quantitative aspects of financial risk management.

　　Quickly develop a deep understanding of Morgan Stanley's credit risk analytics models. Participate in research, development, and implementation of credit risk models Perform econometric analyses to support methodology development Support back testing, stress testing, scenario analyses and sensitivity studies Analyze model changes and perform data analyses for various purposes including model improvement Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm.

　　Skills Required

　　Up to 10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field. Prior work experience with credit markets and products. Prior work experience in a bank credit-related department. Examples include credit trading, origination, underwriting, leveraged finance, CVA. The candidate needs to 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. Strong knowledge of financial products e.g. MBS, CRE, Bonds etc. Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C is strongly preferred. Excellent communication skills (Oral and written). 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.

　　Required Qualifications

　　Graduate/Under-graduate/Post Graduates/ Advance degrees in finance, mathematics, physics econometrics, engineering or other quantitative subjects. Candidates should have a strong theoretical foundation in mathematics, quantitative finance and derivatives. Knowledge and hands-on experience in programming languages. Desirable Skillsets

　　PRM/FRM, CFA, CQF certification is an advantage. Quantitative modeling experience in Finance/ Data Science Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous. Experience in AI, ML, NLP, Big Data Analytics, Tableau is an advantage.

　　“Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.”

　　Job: *Risk Analytics

　　Title: Associate - Credit Rating Model (Risk Management)

　　Location: Non-Japan Asia-India-India-Mumbai (MSA)

　　Requisition ID: 3245787