VP Risk Analytics - Gurugram ( 7 - 10 years of Experience)

25 Lakhs to 40 Lakhs 7.0 years Gurugram

Clustering , Data Analysis , Financial Modeling , Logistic Regression , Machine Learning , Mathematics , Python , R , Random Forest , Risk Analytics , Scorecard Building , Statistical Modeling , Underwriting

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Job Description and Responsibilities

Role and Responsibilities:

  • Lead Risk analytical workstreams including development of risk scorecards for new products and target population segments
  • Build the advanced analytical Decision Engines for underwriting and Cross-Sell, using combinations of traditional logistical regression scorecards, machine learning and alternative data analysis
  • Design analytical Collections / Early Warning System strategies e.g. segment-based Collections strategies, settlement scorecards, loan restructuring approach
  • Collaborate across other functions (e.g. Risk, Digital, Technology) to implement the analytical decisions, e.g. run Test & Learn Pilots
  • Establish performance measurement and reporting approach, as well as feedback loop from portfolio analysis into underwriting decision engines
  • Implement AI approach to continuously screen internal portfolio for action triggers e.g. increased Cross-Sell propensity, early warning alerts
  • Provide ongoing guidance and coaching to data scientists in the team, ensure timely training and skills improvement of the team

Requirements:

  • At least 7 years experience in managing analytical teams  using statistical regression scorecards and machine learning modeling (e.g. GBM, clustering, Random Forest)
  • Skills required : analytics team leadership experience, in-depth knowledge of scorecards and bureau,  R, Python, statistical modeling / mathematics
  • Analytics experience in Financial Services / Lending is required, experience in India is preferred.

College Preference

Does Not Matter

Minimum Qualification

Under Graduate

Compensation

25 Lakhs to 40 Lakhs

Skills hiring for

Clustering , Data Analysis , Financial Modeling , Logistic Regression , Machine Learning , Mathematics , Python , R , Random Forest , Risk Analytics , Scorecard Building , Statistical Modeling , Underwriting

Locations hiring at

Gurugram

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