Job Title : Senior Data Scientist

Location : Gurgaon

Experience : 3+ Years

Domain : Risk Modelling / Financial Analytics

About the Role :

We're looking for a Senior Data Scientist with over 3 years of experience to join our Housing Finance team in Gurgaon. This role focuses on applying advanced analytics and machine learning to the critical area of credit risk. You'll be responsible for developing cutting-edge models that will directly influence credit decisions and help manage portfolio risk more effectively. If you have a solid background in risk modeling and are passionate about using data to solve complex financial challenges, we encourage you to apply.

Key Responsibilities

- Model Development : Design, develop, and implement advanced credit risk models using a variety of statistical and machine learning techniques, including scorecards, regression, decision trees, and Gradient Boosting Machines (GBMs).

- Analytics Support : Provide analytical support for credit decisioning and portfolio risk management. Your work will help the business make smarter, data-driven lending choices and manage its risk exposure.

- Technical Implementation : Leverage strong programming skills in Python/R and SQL to create scalable and robust risk solutions. You will be responsible for the full lifecycle of model development, from data analysis to implementation.

- Collaboration : Work closely with cross-functional teams, including business stakeholders and other analysts, to ensure models are validated, monitored, and integrated effectively into business processes.

Required Skills & Qualifications :

- Experience : A minimum of 3 years of hands-on experience in data science or risk modeling.

- Technical Proficiency : Strong expertise in Python/R for data analysis and modeling, as well as SQL for data extraction and manipulation.

- Domain Knowledge : Prior exposure to credit scoring or financial risk analytics is highly preferred.

- Machine Learning : Solid knowledge of various machine learning methods, including but not limited to regression, decision trees, and GBMs.