Job Description
Risk Analytics has an opening for an associate-level person to support the model development teams. 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.
? Determine key metrics that indicate how credit risk analytics models are performing.
? Collaborate with Model Owners and Model Developers to conduct analyses to identify causes for model underperformance.
? Determine and communicate key developments in model performance to senior stakeholders and the credit oversight committee.
? Produce and automate model monitoring reports for a broad range of credit models.
? Implement changes to model monitoring reports as market conditions and model updates warrant such changes.
? 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.
Job: *Risk Analytics
Title: Risk Analytics (Risk Management)
Location: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)
Requisition ID: 3194434
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