Manager - Data Science

JOB ROLE

• 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.

KEY RESPONSIBILITIES

• 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.

MANDATORY SKILLS REQUIRED

• 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

DESIRABLE SKILLS

• 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.