Assistant Manager - Credit Policy & MIS

RAKBANK

On-siteFull TimeMid LevelFinance & Banking
Posted 3h ago

Why we think you can apply

Employer country
United Arab Emirates
Hiring model
UAE-based role · the employer hires in the UAE
Work from
The employer's office · on-site
Time-zone overlap
Gulf Standard Time · none needed

Posted 3 hours ago · apply link checked 2 hours ago

About the role

Responsibilities

  • Monitor unsecured lending portfolio performance across acquisition, delinquency, loss and profitability
  • Develop MOB and vintage curves to assess portfolio behavior and emerging risk trends
  • Evaluate delinquency, roll rates, NPA formation, write-offs, recoveries and cost of risk
  • Perform portfolio segmentation and deep-dive analyses across customer, channel and score band
  • Monitor scorecards using bad rates, Gini, KS, PSI and calibration
  • Design champion-challenger and test-and-control strategies to optimize approvals
  • Build forecasts, scenario analyses, stress tests and early-warning indicators
  • Develop dashboards and management reports for senior leadership
  • Partner with Data Science, Model Risk and Technology teams on model validation and monitoring

Requirements

  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, Engineering, Data Science or related quantitative field
  • 3-7 years in retail credit risk analytics or portfolio analytics
  • Strong experience with Personal Loans and Credit Cards portfolios
  • Advanced SQL and experience with large account-level datasets
  • Advanced Power BI, Tableau and Excel skills
  • Understanding of Expected Loss, Cost of Risk, ECL, NIM and ROA

Preferred Qualifications

  • Experience with scorecard validation and strategy optimization
  • Python, SAS or R skills

About the Company

RAKBANK is one of the UAE's leading banks, known for innovation, teamwork and strong risk governance.

What we look for

  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, Engineering, Data Science or related quantitative field
  • 3-7 years in retail credit risk analytics or portfolio analytics
  • Strong experience with Personal Loans and Credit Cards portfolios
  • Advanced SQL and experience with large account-level datasets
  • Advanced Power BI, Tableau and Excel skills
  • Understanding of Expected Loss, Cost of Risk, ECL, NIM and ROA
  • Experience with scorecard validation and strategy optimization
  • Python, SAS or R skills
PythonRisk ManagementSQLExcelFinancial AnalysisData AnalysisRForecastingTableauPower BIReportingSAS
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