Loss Forecasting And Analytics - Vice President

Citi Handlowy

Multiple Locations
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Credit loss forecasting models
Quantitative statistical analysis
Sas, python, and r proficiency
** Citi Handlowy is seeking a Vice President for their Loss Forecasting and Analytics team to lead risk financial loss forecasting efforts for a significant consumer credit portfolio. The ideal candidate should have extensive experience in risk management within the credit space, strong analytical skills, and proficiency in statistical analysis tools. **

Job Summary

  • The Loss Forecasting and Analytics team is responsible for calculating and managing the net credit loss forecast for a portfolio exceeding $150BN with a focus on retail portfolios, particularly North American cards.
  • This role involves leading risk financial loss forecasting efforts, conducting in-depth statistical analysis, and collaborating with senior management and regulatory bodies to ensure accurate and compliant reporting.
  • The position requires driving efficiency improvements through automation and acting as an assistant project manager while maintaining best-in-class governance and documentation practices.

Matching Summary

Match Score: 75

** Citi Handlowy is seeking a Vice President for their Loss Forecasting and Analytics team to lead risk financial loss forecasting efforts for a significant consumer credit portfolio. The ideal candidate should have extensive experience in risk management within the credit space, strong analytical skills, and proficiency in statistical analysis tools. **

Skills & Requirements

Must-have

  • Credit loss forecasting models
  • Quantitative statistical analysis
  • SAS, Python, and R proficiency
  • Risk management frameworks
  • Financial and risk reporting
  • Cross-functional stakeholder collaboration

Nice-to-have

  • Project management experience
  • Strong teamwork and problem-solving
  • Presentation and communication skills
  • Process automation using VBA and AI
  • Relationship management skills

Key Requirements

  • 10+ years experience in risk management
  • Experience in cards/unsecured credit loss forecasting
  • Bachelor’s degree or equivalent experience
  • Proficiency with SAS, Python, and R
  • Knowledge of regulatory requirements
  • Project management skills

Work Rights

Not specified

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