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Portfolio Analyst

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Remote

Portfolio Analyst

Renmoney

Portfolio Analyst

Skills

SQL QueriesBig DataPythonData ScienceNumPypandasData AnalysisMachine LearningRisk Management

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Serbia

Work mode:

Remote

Published on:

14 September 2026

What they need


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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