Portfolio Analyst
# Portfolio Analyst **Renmoney** · Russian Federation · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Portfolio-Analyst]` `[Credit-Analyst]` `[Risk-Analyst]` `[Financial-Analyst]` `[Data-Analyst]` `[Portfolio-Management-Analyst]` `[Portfolio-Data-Analyst]` `[IT-Portfolio-Analyst]` `[Portfolio-Management-Specialist]` `[Energy-Portfolio-Analyst]` `[Portfolio-Associate]` `[IT-Portfolio-Management-Analyst]` `[Portfolio-Operations-Specialist]` --- ### 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: 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 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. Originally posted on Himalayas
- Portfolio-Analyst
- Credit-Analyst
- Risk-Analyst
- Financial-Analyst
- Data-Analyst
- Portfolio-Management-Analyst
- Portfolio-Data-Analyst
- IT-Portfolio-Analyst
- Portfolio-Management-Specialist
- Energy-Portfolio-Analyst
- Portfolio-Associate
- IT-Portfolio-Management-Analyst
- Portfolio-Operations-Specialist
Наблюдалась 2026-09-17, впервые 2026-09-16, источник — Himalayas (JSON API).