Credit Risk Specialist

1 day ago

Bengaluru, Karnataka, India beBeeCreditRisk Full time ₹ 1,20,00,000 - ₹ 1,62,00,000
Our company is seeking a skilled professional to take on the role of Credit Risk Specialist. The ideal candidate will have a strong background in statistical/mathematical modeling, quantitative research, credit risk management, or related fields.The main responsibilities of this position include developing, validating, auditing, and maintaining credit risk models. The successful candidate will also support financial institutions in meeting jurisdictional regulatory requirements and their broader risk management initiatives.To be successful in this role, you should have experience in credit risk modeling PD/LGD/EAD – TTC, PIT, Stressed and unstressed portfolio. You should also have knowledge of one or more global regulatory norms such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR-11/7, E-23 around data sufficiency, modeling methods, industry standards etc.Familiarity with one or more statistical techniques used in credit risk modeling including Logistic Regression, Time series, OLS, Probit models, Survival techniques, Tobit, Fractional Logistic, Beta model, State Transition Matrix, Single Factor Merton model etc. is essential for this position. Additionally, experience with Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. would be a plus.You should also have proficiency in one or more analytical tools such as SAS, R, Python, Matlab, Scala, VBA etc. Experience in Data Science and cloud-based analytics platform would be a plus.A strong understanding of credit risk metrics like RWA, Expected loss, Regulatory and Economic capital, OTTI, Watchlist, Asset quality etc. is necessary for this role. You should also have conceptual understanding of the data and methodology used for credit risk regulatory models.Prior experience in domains like commercial banking, retail banking, treasury, investment management and strong knowledge of risk data analysis and development, strategy design and delivery deployment are highly valued.This role requires excellent oral and written communication skills, solid analytical and problem-solving skills, ability to isolate and solve issues using large amounts of data. A process orientation with strong technical skills and attention to detail is also required.A master's degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus. Industry-relevant certifications in CQF, FRM, CFA, CPA certification is a plus.

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