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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