Job Description

Responsibilities

Develop and improve credit risk scorecards and strategies.
Analyze customer and transaction data to support risk decisions.
Clean, validate, and prepare large datasets for analysis.
Build features and automate analytics and reporting workflows.
Ensure data accuracy, consistency, and compliance.
Present analytical insights to business and risk teams.

Requirements

Experience in analytics or credit risk analytics.
Strong SQL skills and hands-on experience with Python/PySpark.
Experience in data preprocessing, feature engineering, and automation.
Good understanding of credit risk and statistical modelling.
Strong analytical, problem-solving, and communication skills.
BFSI, lending, or credit risk experience is preferred.

Spotlight

WFH setup, Health & insurance

Education

Master OF Business Administration (M.B.A), Post Graduate Diploma in Computer Applications (PGDCA), Master in Computer Application (M.C.A), Bachelor Of Computer Application (B.C.A), Bachelor of Business Administration (B.B.A), PGDM, Post Graduate Programme in Management for Executives (PGPX), PGP, Doctor of Business Administration (DBA), Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E)