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21 d agofound 5 d ago
Portfolio Analyst
What the posting is about
Analyze and optimize credit portfolio, collaborate with data science to make data-driven decisions, monitor risk concentration, and improve loan origination processes.
Read out of the posting
Levelmid
Experience asked3+ years
EmploymentContract
LocationRussia
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-14
Found viaworkable, direct from their system
We saw it 16 days after it went up.
The posting, as the company wrote it
Employment: Contract
Experience: Mid-Senior level
Education: Bachelor's Degree
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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