Risk Manager
4 days ago
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.
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