Portfolio Analyst
Read straight from Renmoney's careers page, verified 2d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationTbilisi, Tbilisi, Georgia
Work moderemote
Typecontract
SeniorityMid
Experience3+ yrs
DepartmentDecision Science
Company size501–1,000 people
PostedSep 14, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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 Excel (advanced formulas, pivot tables)
Proficiency with SQL (window functions, subqueries)
Experience working with Python (basic level: NumPy, pandas, scikit-learn)
Knowledge of regulatory requirements applicable to MFIs/Banks
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
Skills
Excel
SQL
Python
NumPy
pandas
scikit-learn
Big Data
BI systems
Benefits
Remote work
Performance bonus
Paid vacations
Paid day offs
Personal development plan
About the 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:
Responsibilities
•
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.