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Data Scientist
5 months ago
About The Role:
- Analyze, build, validate and document credit risk models using best practices.
- Hands-on experience in using statistical methods and / or expert judgement based techniques for developing and implementing credit risk scorecards and strategies.
- Derive insights from data and communicate these insights effectively to the stakeholders Data visualisation and presentation of reports to the regulator and senior management on a regular and adhoc basis.
- Ability to work with (collect, prepare, process, summarise) large and sometimes unstructured data sets with attention to detail.
- Partner with external entities including Bureaus, Software application providers, and Lenders to advance the synergies found for business growth.
- Coordinate all administrative aspects of portfolio management on a day to day basis including, but not limited to, identifying unlinked outstanding, over limits, temporary facility extension or increases.
- Stand for reliability, integrity and consistency in using the underlying data and insights generated.
About You:
- At least 6 years of experience in the areas of credit risk management and data analytics with a top fintech and / or a private sector bank of India or overseas.
- Degree in statistics, engineering or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is desirable.
- Extensive experience and expertise in using any SQL / Python.
- Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches.
- Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage.
- Credit concepts, policy/regulatory framework, loan and card products.
- Strong technical skills - Excel, data mining and management, Microsoft office.
- Self-starter and Go-getter.
- Strong communicator and interpersonal skills. Team player.
(ref:hirist.tech)