Risk Manager

2 days ago

Mumbai, Maharashtra, India HDB Financial Services Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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