Portfolio Analyst
Quick Summary
Credit Portfolio Management: Analysis and monitoring of key portfolio metrics: FPD, PD, LGD, NPL,
PD, NPL, FPD, SPD, Roll Rate, CoR; Knowledge and practical application of probability theory and mathematical statistics; Pro
We’re looking for a Portfolio Analyst to help us scale and optimize our credit portfolio. You’ll work hands-on with portfolio metrics, risk strategies, and pricing, collaborating closely with Product and Data Science to turn data into clear, impactful decisions. The scope of responsibilities will include:
Credit Portfolio Management:
- 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 (e.g., by risk levels, products, acquisition channels);
- Assessment of the impact of internal initiatives on financial results;
- Optimization of the portfolio structure (balancing high-yield and low-risk loans).
- Monitoring of risk concentration (e.g., by regions, products, borrower segments);
- Adjustment of credit policy based on default and early repayment data;
- Development and improvement of processes related to loan origination.
- Formulation of requirements for scoring models (e.g., calibration of PD models);
- Analysis of scoring card performance and proposals for their improvement;
- Work with cash flow forecasting models.
Requirements
~1 min read- 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 analytical tools:
- Excel (advanced formulas, pivot tables);
- SQL (window functions, subqueries);
- Experience working with Python (basic level: NumPy, pandas, scikit-learn);
- Knowledge of regulatory requirements applicable to MFIs/Banks.
Nice to Have
~1 min read- Experience with Big Data and BI systems;
- Basic understanding of ML models (interpretation of scoring results);
- 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.
What We Offer
~1 min readLocation & Eligibility
About this job
- Posted
- 38 days ago
Listing Details
- Posted
- September 14, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 30%
- Scored at
- October 22, 2026
Signal breakdown
Renmoney is a leading fintech company in Nigeria that offers personal and business loans, savings, investment products, and a variety of other banking services.
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