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HR at Jubilant HR Consultants
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Manager - Credit Risk - Analytics Modelling - Financial Services Firm (1-5 yrs)
Our Client is one of the largest financial services company in India and is headquartered in Pune, Maharashtra.
Role - Manager - Credit Risk - Analytics Modelling
Location-Pune
Job responsibilities
- Provide analytical solutions through statistical modelling, credit policy and strategy, reporting and data analysis for the BFL-SME businesses
- Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness
- Support any Adhoc deep dive data analysis on portfolio matrices
- Track and improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices.
- Build statistical models like Application Score, Behaviour Score, Fraud Scores, etc.
- Building of Machine Learning models across the organization as on when required.
- Build, monitor, validate and track PD, LGD, EAD models for ECL as per IND AS guidelines
- Work closely with business team to understand their need and provide Analytical solution.
- Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required
- Support in managing and improving various offer strategies, control offer generation and distribution through data analysis
- Work closely with Product, Sales to support business growth and drive new initiatives
- Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably
- Interact with Internal clients like Portfolio Risk Managers, Portfolio Business Heads, Chief Risk Officer, and External clients like vendors working on SME Risk projects to accomplish the job.
Skill Required
- Effective communication skills
- Efficient time management skills
- Knowledge of coding languages (SAS, SQL, R & Python) and ML algorithms (KNN, NBM, DT, SVM, CART, etc.) is preferred
- Should be comfortable in using classical statistical techniques like regression, clustering, hypothesis testing, etc
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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