Lead Data Scientist

IDFC FIRST Bank · Mumbai

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About IDFC FIRST Bank

IDFC FIRST Bank is hiring in Mumbai in financial services. This role looks for around 8+ years of experience.

Skills

  • credit risk modelling
  • collections modelling
  • fraud modelling
  • application scorecards
  • behavioral scorecards
  • statistical modelling
  • model lifecycle management
  • model monitoring
  • model performance tracking
  • model recalibration
  • model governance
  • regulatory compliance
  • logistic regression
  • Python
  • SAS
  • SQL
  • large datasets
  • feature engineering
  • BFSI
  • banking
  • model validation

The role

A data scientist at a banking organization builds credit risk modelling and fraud modelling solutions, develops scorecard development using logistic regression, and manages model governance. Model validation and Python support predictive analytics across lending and collections.

Full job description

Responsibilities:

Build and deploy credit risk/collections/fraud models

Develop application and behavioral scorecards using statistical techniques

Own the complete model lifecycle: data features, modeling, validation, deployment

Partner with business, product, and tech teams to solve high-impact problems

Drive model monitoring, performance tracking, and recalibration

Ensure model governance and regulatory compliance

Mentor junior team members and guide modelling best practices

Requirements:

6+ years of experience in credit risk modelling/analytics

Strong hands-on experience with scorecard development (logistic regression)

Proficiency in Python / SAS / SQL

Experience handling large datasets & feature engineering

Strong understanding of the BFSI / banking domain

Exposure to model validation, governance, and regulatory frameworks

Strong stakeholder management and problem-solving ability

Secondary Requirements:

Experience ML models (XGBoost, LightGBM, etc. ).

Exposure to collections/fraud/rural lending models.

Prior experience mentoring or leading small teams.