Job highlights

- 8-15 years experience in credit risk modelling with expertise in Light GBM, XGBoost, Gradient Boosting, Python, and big data technologies
- Design, develop, validate, and deploy credit risk models; collaborate with teams to meet regulatory standards; optimize models for accuracy

Job Title: Credit Risk Modelling Data Scientist

Department: Risk Management

Location: Bengaluru, Gurgaon

Experience: 8-15 YearsNotice Period-Immediate to 30 days only.BN

Notice period- Immediate to 30 days only.

Requirements

- Design and develop credit risk models using Light GBM, Gradient Boosting, and XGBoost to predict creditworthiness of customers.
- Implement data preprocessing, feature engineering, and model validation using Python to ensure high-quality data for modelling.
- Develop and deploy credit risk models using Python, ensuring seamless integration with existing banking systems.
- Collaborate with cross-functional teams to identify business requirements and develop credit risk models that meet regulatory and compliance standards.




- Optimize and refine credit risk models using techniques such as hyperparameter tuning, ensemble methods, and model selection to improve predictive accuracy.

Preferred Skills

- Experience with advanced machine learning techniques such as neural networks, deep learning, and natural language processing to improve credit risk modelling.
- Strong understanding of banking and financial regulations, such as Basel II/III, and experience with credit risk management frameworks.
- Proficiency in using big data technologies such as Hadoop, Spark, and NoSQL databases to handle large datasets and improve model performance.
- Experience with cloud-based platforms such as AWS or Azure to deploy and manage credit risk models at scale.
- Solid leadership and communication skills to effectively collaborate with stakeholders and communicate complex technical concepts to non-technical audiences.

📌 Data Scientist - Credit Risk (Gurugram)
🏢 hrindiasolutions.co.in
📍 Gurugram