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3.0 - 8.0 years
2 - 8 Lacs
Gurgaon, Haryana, India
On-site
Roles and Responsibilities: Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile: 2+ years of experience in Credit Risk Modelling, Analytics, or a related field. Strong expertise in Basel II, Basel III, CECL, and CCAR within the IFRS9 framework. Proficiency in Python, R, or SAS, with a strong understanding of machine learning algorithms as an added advantage.
Posted 4 days ago
2.0 - 7.0 years
2 - 7 Lacs
Gurgaon, Haryana, India
On-site
Roles and Responsibilities: Develop credit risk models using SAS, SQL, and statistical techniques to predict defaults, losses, and credit metrics. Collaborate with cross-functional teams to implement effective credit risk strategies. Conduct stress testing and scenario analysis to identify risks and growth opportunities. Provide data insights and recommendations on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile: 2+ years of experience in Credit Risk Modelling, Analytics, or related field. Strong expertise in Basel II, Basel III, CECL, and CCAR within the IFRS9 framework. Proficiency in Python, R, or SAS, with an understanding of machine learning algorithms.
Posted 4 days ago
2.0 - 7.0 years
2 - 7 Lacs
Gurgaon, Haryana, India
On-site
Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.
Posted 4 days ago
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