Risk Portfolio Manager
New
J
JobgetherFintech lending
The position is advertised as remote, with candidates based in Europe considered., Experience working with teams across different time zonesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- Approximately seven years of experience in credit risk, lending, portfolio management, business analytics, or a lending institution
- Required Skills
- PythonSQLData Analysis
Requirements
- Approximately seven years of experience in credit risk, lending, portfolio management, business analytics, or a lending institution.
- Substantial hands-on exposure to credit products.
- Experience in fintech, banking, payment processing, POS, or another financial services organization, with direct involvement in lending or credit activities.
- Practical credit underwriting experience, ideally evaluating high-value merchant facilities and assessing portfolios at scale.
- Proficiency in SQL and/or Python for independently extracting, organizing, and analyzing large datasets.
- Understanding of statistical fundamentals, quantitative analysis, and model interpretation.
- Ability to translate quantitative findings into practical recommendations and communicate effectively with stakeholders.
- Ability to collaborate across business functions and work independently in a dynamic environment.
- Experience working with teams across time zones and cultural contexts, particularly in the United States or Latin America, is an advantage.
- Corporate or B2B card underwriting experience, including managing high credit limits, is encouraged; familiarity with AI-powered tools is an advantage.
Responsibilities
- Monitor portfolio vintages, losses, originations, non-performing loans by cohort, and overall profitability.
- Evaluate high-value merchant credit facilities and develop scalable approaches to assessing multiple exposures.
- Establish and monitor indicators for credit losses, portfolio yield, profitability, portfolio composition, and credit quality.
- Extract, structure, and analyze portfolio data using SQL and, where applicable, Python.
- Interpret portfolio data and risk patterns using quantitative and statistical reasoning.
- Collaborate with commercial and business teams, contributing to client interactions when needed.
- Translate analyses into findings, reports, and presentations for stakeholders.
- Develop and improve automated processes for tracking portfolio indicators.
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