Senior Data Scientist – Risk Modelling (Housing Finance)

Company Overview

(Company information is not specified in the provided details.)

Job Summary

We are seeking a Senior Data Scientist to join our Housing Finance business, focusing on credit risk modelling and portfolio risk management. The role involves building and implementing credit scorecards, regression models, decision trees, Gradient Boosting Machines (GBM), and other machine learning techniques to support credit decision-making processes.

Responsibilities

• Develop, validate, and implement credit risk models to assess borrower risk.
• Apply statistical and machine learning techniques including scorecards, regression, decision trees, and GBM.
• Support credit decisioning frameworks and enhance portfolio risk management.
• Work with large datasets using Python, R, and SQL.
• Provide insights for risk strategy, policy adjustments, and performance monitoring.

Qualifications

• Strong knowledge of statistical modelling, machine learning algorithms, and data analysis concepts.
• Hands-on experience with Python, R, and SQL.
• A minimum of 3 years experience in risk modelling, credit scoring, or financial risk analytics.
• Strong ability to translate business problems into effective analytical solutions.
• A degree in a related field such as Mathematics, Statistics, Data Science, or a related quantitative discipline is typically preferred.

Preferred Skills

• Familiarity with advanced analytical techniques and tools.
• Experience in the Housing Finance sector is a plus.
• Excellent communication and collaborative skills to work effectively in cross-functional teams.

Experience

• Minimum of 3 years in risk modelling, credit scoring, or financial risk analytics is preferred.

Environment

The position is based in Gurgaon. The specific work setting (remote, in-office, hybrid) is not specified in the provided details.

Salary

(Salary information is not specified in the provided details.)

Growth Opportunities

(Potential career advancement opportunities within the company are not specified in the provided details.)

Benefits

(Information regarding offered benefits is not specified in the provided details.)