Jeeves
Jeeves
Jeeves is a financial platform that helps companies manage international spending and payments in one place. Its services include corporate card issuance, expense management, cross-border transfers, foreign exchange, and direct accounting integrations, supporting operations across more than 25 countries and multiple currencies. By bringing these functions together, Jeeves helps businesses reduce reliance on fragmented financial tools and improve day-to-day finance operations. The company is not a bank; it works with licensed banks and other financial institutions to provide its services.

Senior Credit Analytics Business Analyst at Jeeves, Colombia Remote

Lead credit analytics, risk modeling, data foundations, and automated decisioning for Jeeves’ global financial operating system. Shape credit policies, portfolio monitoring, and risk strategies through data-driven analysis.

Description

  • Integrate and validate external data from credit bureaus, banks, open finance platforms, tax sources, and financial systems
  • Collaborate with Engineering on data pipelines and data quality
  • Improve customer consent records and connections for reliable, compliant access to external data
  • Convert manual credit and portfolio processes into repeatable, documented SQL and Python workflows
  • Establish data quality checks and supporting documentation
  • Develop and refine underwriting criteria and credit-limit strategies
  • Create customer management strategies for credit-line increases, decreases, and reinstatements
  • Identify high-risk customers and develop loss-mitigation processes
  • Work with Sales and Business Development to align growth plans with credit policy
  • Define portfolio KPIs and create dashboards
  • Develop early-warning indicators and monitoring routines
  • Give Collections segmentation and prioritization insights
  • Support loss forecasting and risk-adjusted return analysis with Finance
  • Use statistical techniques to identify risk drivers and guide strategy
  • Develop, validate, and monitor credit risk models
  • Help establish rules and data requirements for automated credit decisions
  • Turn model findings into recommendations for credit leaders and business partners
  • Use AI tools in analysis and validate outputs against source data
  • Recommend and help implement improvements to AI workflows

Requirements

  • 3–7 years of analytics experience in credit risk, including hands-on commercial or SMB credit work in cards, payments, lending, or a related industry
  • Advanced SQL proficiency
  • Working Python proficiency for analysis and statistical modeling, including regression, segmentation, and clustering
  • Experience with version control such as GitHub is a plus
  • Direct experience integrating or cleaning external or alternative data sources
  • Experience using AI tools such as Claude, ChatGPT, or Gemini in analytical work
  • Demonstrated ability to turn analysis into implemented credit policy or strategy changes with measurable results
  • Clear written and verbal communication skills
  • Professional fluency in English
  • Ability to work with meaningful overlap during Latin American business hours
  • Knowledge of Latin American credit data and open finance ecosystems is preferred
  • Experience implementing, validating, or monitoring risk and scoring models is preferred
  • Experience supporting collections strategy or early-warning programs is preferred
  • Experience with visualization tools such as Tableau, Metabase, or Claude Visualization Tools is preferred
  • Fluency in Spanish and/or Portuguese is preferred
  • Experience in a high-growth startup or fintech is preferred

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