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Portfolio Analyst

Renmoney
Remote (Georgia, Kazakhstan, Nigeria, Russia, Serbia) Posted Sep 14, 2026
Full-timeRemote

About this role

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). Risk Management:

  • 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. Collaboration with the Data Science Team:

  • 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

  • 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:

  • 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.

Benefits

  • Remote work from anywhere in the world
  • Performance bonus, paid vacations and day-offs, personal development plan
  • Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary
  • Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools
  • Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

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