Senior Manager/Manager Data Scientist

As a Data Scientist with a proven track record in Predictive analytics, your main responsibilities will include building and modeling scorecards, developing analytical models to assess risk profiles of customers, identifying cross-sell opportunities, and fraud control for both new and existing customers. You will be responsible for developing and deploying various scorecards and models for credit risk and retail asset products within specified timelines, ensuring alignment with the Bank's strategies for maximum efficiencies. Your role will also involve estimating the probability of default from the scorecards, monitoring deviations from expected default rates, identifying opportunities for business growth, and providing risk alerts to control NPAs. You will be expected to formulate data cuts and strategies to assess credit risk, provide feedback to stakeholders for model improvement, develop novel approaches in Risk modeling, and adopt the latest trends in fintech companies. Additionally, you will work on the automation of scorecards in the Analytics domain and explore untapped data sources within the Bank's ecosystem to meet business objectives. You will be encouraged to innovate, evolve processes, and make significant changes to save time, energy, and money while handling any other assignments as per the organization's needs. To qualify for this role, you should have an educational background in MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer Science/Statistics, with a strong inclination towards machine learning algorithms. Key skills required include excellent problem-solving capabilities, strong fundamentals in computer science, technical and analytical skills, hands-on experience in data wrangling, feature engineering, and deploying scalable machine learning algorithms. Moreover, you should possess strong written and verbal communication skills and stay updated on current trends in the machine learning/analytics field. Ideally, you should have at least 2+ years of experience in analytics, predictive modeling, or machine learning, with proficiency in Python/R for building and deploying scalable analytics models. Exposure to the banking sector would be advantageous for this role.,