Data Scientist - Credit Risk - 2+ Year - Remote

2 - 6 years

17 - 20 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

LTV modelling, portfolio risk analytics, and U.S. credit card portfolio strategies

Location:

Your Future Employer:

risk analytics, data enrichment, and financial data intelligence

Responsibilities:

  • Build, validate, and enhance

    LTV models

    , credit risk models, and profitability frameworks
  • Work on

    RiskReward trade-off modelling

    to optimize credit acquisition and portfolio strategies
  • Conduct data extraction, validation, exploratory analysis, and evaluate new data sources
  • Drive portfolio analytics initiatives to monitor & improve credit performance
  • Partner with product, marketing, and risk teams to design

    data-driven credit policies & lifecycle strategies

  • Perform profitability segmentation and identify high-value or high-risk customer cohorts
  • Support pricing, credit line management, and risk simulations using predictive modelling
  • Analyse internal and bureau data to generate actionable portfolio insights

Requirements:

  • 2+ years

    of experience in credit cards, consumer lending, or portfolio risk analytics
  • Hands-on experience in

    LTV modelling, risk–reward trade-off, profitability optimization

  • Proficiency in

    Python or R

    , and strong SQL for data manipulation
  • Expertise in predictive modelling: logistic regression, decision trees, gradient boosting, survival analysis
  • Experience working with

    credit bureau data, scorecards, forecasting

    , and U.S. credit systems
  • Strong communication skills with ability to explain insights to business & technical stakeholders

What’s in it for You:

  • Work directly on end-to-end

    credit portfolio analytics

  • Exposure to

    U.S. credit card portfolios & advanced risk strategies

  • Opportunity to shape real business outcomes within a fast-growing AI/ML environment

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