Manager - Data Science

Job Description

• Transforming raw data into actionable insights, building predictive models, and supporting data-driven decision-making across the organization.
• Review Scorecard Performance - Model Outcome Analysis, Assumptions and model limitation, back testing.
• Inventory of Models, BRE rules for the model
• Build statistical model for predicting ECL movement,
• Model the portfolio performance of all products pre scorecard deployment and post scorecard deployment.
• Build model for collection flows and estimation of portfolio performance.

• Analyze large datasets to identify trends, patterns, and opportunities for business growth and portfolio monitoring.
• Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Design and implement data pipelines and ETL processes.
• Communicate findings through dashboards, reports, and presentations using tools like Power BI, Tableau, or Python visualizations.
• Build statistical model / scorecards
• Can do independent - statistical validation of scorecards
• Analyse reason for portfolio movement - Highlighting key changes in portfolio (basis model performance)
• Create model for predicting
• various parameters
• ED movement / Probable ED flows, Tracking Write Off movement, recovery trends and probable losses
• modelling them for predicting future performance.

• Degree in Statistics / mathematics / economics with finance background will be an added advantage.
• Prior experience of statistical modelling for 4-5 Years
• Proficiency in python /R /SAS /MATLAB / & SQL

• Excellent communication and problem-solving skills.
• Strong understanding of statistical methods and data modeling.
• Power BI, Tableau, or Python visualizations.
• Stay updated with the latest developments in data science and AI.