Portfolio Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-09-14). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Russia, Kazakhstan, Serbia, Nigeria, Georgia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 1d ago · last seen 2h ago
The listing
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.