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Jeeves
Jeeves
51 – 200 Employees
H1B Visa SponsorConsultingLogisticsMarketing
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.
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Senior Credit Analytics Business Analyst - Argentina Remote

Jeeves is seeking a Senior Business Analyst to strengthen credit analytics, risk modeling, and automated decisioning for its corporate cards, payments, and spend management platform. The role supports portfolio monitoring, credit policy, and data-driven strategies across Latin America.

ARArgentinaRemoteFull-timeSeniorEnglish RequiredBusiness Analyst
PythonSQLTableau

Description

  • Integrate and validate external data sources, including credit bureau, banking, open finance, tax, and financial data.
  • Improve customer consent and connection records to support reliable, compliant data access and refreshes.
  • Convert manual credit and portfolio processes into repeatable, documented SQL and Python workflows.
  • Establish data quality controls and maintain clear supporting documentation.
  • Create and refine underwriting standards and credit limit strategies using internal and external data.
  • Develop customer management approaches for credit line increases, decreases, and reinstatements.
  • Detect high-risk customers and develop processes to reduce potential losses.
  • Work with Sales and Business Development to connect growth plans with credit policy.
  • Set portfolio KPIs and create dashboards for portfolio health and strategy performance.
  • Develop early-warning indicators and monitoring routines for accounts showing deterioration.
  • Give Collections segmentation and prioritization insights to guide recovery efforts.
  • Support loss projections and risk-adjusted return analysis in partnership with Finance.
  • Use statistical techniques including logistic regression, segmentation, and clustering.
  • Build, validate, and monitor credit risk models.
  • Define automated credit decisioning rules and data requirements with Product and Engineering.
  • Turn model findings into practical recommendations for credit leaders and business stakeholders.
  • Use AI tools in analysis, validate their outputs against source data, and improve analytical workflows.
  • Collaborate with data science, engineering, product, collections, and sales as an individual contributor without people-management responsibilities.

Requirements

  • Three to seven years of analytics experience in credit risk, including hands-on commercial or SMB credit work in cards, payments, lending, or a related sector.
  • Advanced SQL skills, including querying large, untidy datasets and checking data quality.
  • Working proficiency in Python for analysis and statistical modeling, including regression, segmentation, and clustering.
  • Experience with version control tools such as GitHub is advantageous.
  • Capacity to work independently and take ownership of deliverables.
  • Hands-on experience with external or alternative data sources, preferably including their integration or cleanup.
  • Experience applying AI tools such as Claude, ChatGPT, or Gemini to analytical work.
  • Demonstrated ability to turn analysis into implemented credit policy or strategy changes with measurable outcomes.
  • Strong written and verbal communication skills for working with non-technical stakeholders.
  • Professional fluency in English.
  • Availability for substantial overlap with 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 with data science teams is preferred.
  • Experience supporting collections strategies or early-warning programs is preferred.
  • Experience with visualization platforms such as Tableau, Metabase, or Claude Visualization Tools is preferred.
  • Fluency in Spanish and/or Portuguese is preferred.
  • Experience in a fast-growing startup or fintech environment is preferred.

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