Data Scientist - Credit Risk

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. \* Strong leadership and communication skills to effectively collaborate with stakeholders and communicate complex technical concepts to non-technical audiences.