
Portfolio Analyst
Renmoney
WorldwideFully remoteContractMid LevelFinance & Banking
Posted 17 hours ago17h agoApply link checked 17 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 17 hours ago · apply link checked 17 hours ago
About the role
Responsibilities
- Analysis and monitoring of key portfolio metrics: FPD, PD, LGD, NPL, Surplus
- LTV assessment and active participation in product pricing
- Development of customer segmentation strategies
- Assessment of the impact of internal initiatives on financial results
- Optimization of the portfolio structure
- Monitoring of risk concentration
- Adjustment of credit policy based on default and early repayment data
- Formulation of requirements for scoring models
- Analysis of scoring card performance and proposals for their improvement
- Work with cash flow forecasting models
Requirements
- 3+ years of experience in analytics or portfolio analytics
- Higher education, preferably in a technical or economics-related field
- Strong understanding of credit risks and metrics: PD, NPL, FPD, SPD, Roll Rate, CoR
- Knowledge and practical application of probability theory and mathematical statistics
- Proficiency with Excel (advanced formulas, pivot tables)
- Proficiency with SQL (window functions, subqueries)
- Experience working with Python (basic level: NumPy, pandas, scikit-learn)
- Knowledge of regulatory requirements applicable to MFIs/Banks
Preferred Qualifications
- Experience with Big Data and BI systems
- Basic understanding of ML models
- Knowledge of financial models and statements (NPV, DCF, P&L)
- Experience with A/B testing
- Knowledge of MFI/Banking products: microloans, credit cards, credit lines
Benefits
- Remote work from anywhere in the world
- Performance bonus, paid vacations and day-offs, personal development plan
- Access to cutting-edge tools
- Join a diverse, inclusive team
What we look for
- 3+ years of experience in analytics or portfolio analytics
- Higher education in technical or economics-related field
- Strong understanding of credit risks and metrics
- Proficiency with Excel, SQL, and Python
- Knowledge of regulatory requirements for MFIs/Banks
PythonSQLExcelcredit risk
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