Assignment Lead at Rinalytics Advisors
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Manager - Risk Analytics - Financial Technology Venture (8-15 yrs)
Opportunity is with a financial technology venture, founded in 2013, that leverages non-traditional data sources to provide credit scores to individuals. The company plans to assess credit risk of 800 Million+ Indians not covered by traditional credit scoring bureaus. Currently most banks and other lending institutions rely on credit scores provided by credit bureaus such as CIBIL, CRISIL etc.
- This organisation is harnessing the power of Big-Data and Advance Machine Learning techniques to re-built the credit scoring structure in India and overcome the failures experienced by the earlier credit scoring companies due to the traditional methods they followed.
Position Overview:
- Develop strategies to build Credit risk models that work towards minimizing risk and maximizing rewards for clients in Retails/ SME Banking.
- Develop a sound, effective and independent model validation process which will evaluate model performance, degree of complying with design objectives and business uses.
Key Result Areas:
- Experience in developing Credit Risk Model for SME and Retail banking.
- Experience in developing Application/Behavioral Scorecard - PD Models.
- Experience in PD calibration.
- Experience in developing LGD and CCF\EAD models
- Experience in developing Macroeconomic modeling, Lifetime PD and stress testing.
- Expertise in statistical technique like Regression / Logistic Regression / CHAID / Bayesian / Probabilistic model/ Loss rate modeling etc.
- Expertise in statistical tools like SAS/R/MATLAP/Excel
Whom we are looking for:
- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics,Engineering or other quantitative discipline
- Excellent understanding of retail banking / small business / consumer finance products and business life-cycles
- 5 - 7 years of experience in a similar field with at least 3 years in managing a team
- Must be able to work independently
- Hands-on experience in statistical tools like SAS / R /MATLAP.
- Proficiency in the development of scorecard is a must
- Results-oriented and a self-starter, with the ability to excel in a lean and rapidly-changing work environment
- Must have worked in Risk Analytics with leading banks/ NBFC for a minimum of 3 years.
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