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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 (Brazil Remote)

Lead credit analytics at Jeeves by building reliable data foundations, risk models, underwriting policy, and portfolio monitoring for automated decision-making.

BRBrazilRemoteFull-timeSeniorEnglish RequiredBusiness Analyst
PythonSQLTableau

Description

  • Integrate and validate credit bureau, banking, open finance, tax, and financial data sources.
  • Clean and maintain customer consent records and data connections to support reliable, compliant data retrieval and refreshes.
  • Convert manual credit and portfolio activities into documented, repeatable SQL and Python workflows.
  • Establish data quality controls and supporting documentation.
  • Create and improve underwriting standards and credit limit strategies.
  • Develop customer management approaches covering credit line increases, decreases, and reinstatements.
  • Detect high-risk customers and develop processes to reduce potential losses.
  • Work with Sales and Business Development to align growth plans with credit policy.
  • Set portfolio KPIs and create dashboards for monitoring portfolio health and strategy outcomes.
  • Develop early-warning indicators and ongoing monitoring processes.
  • Give Collections segmentation and prioritization insights.
  • Support loss forecasting and risk-adjusted return analysis in partnership with Finance.
  • Use logistic regression, segmentation, clustering, and other statistical techniques.
  • Build, validate, and monitor credit risk models.
  • Collaborate with Product and Engineering on rules and data requirements for automated credit decisions.
  • Turn model findings into actionable recommendations for credit leaders and business stakeholders.
  • Use AI tools in analysis, validate their outputs against source data, and help improve AI-assisted workflows.
  • Collaborate across data science, engineering, product, collections, and sales as an individual contributor without current people-management duties.

Requirements

  • Three to seven years of credit risk analytics experience, including hands-on commercial or SMB credit work in cards, payments, lending, or a related field.
  • Advanced SQL skills for querying large, unstructured datasets and checking data quality.
  • Working Python proficiency for analysis and statistical modeling, including regression, segmentation, and clustering.
  • Experience with external or alternative data, such as bureau, banking, open finance, or tax sources, ideally including integration or data cleaning.
  • 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.
  • Professional fluency in English.
  • Ability to work with substantial overlap with Latin American business hours.
  • Ability to work independently and take ownership of deliverables.
  • Strong written and verbal communication skills.
  • 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 initiatives is preferred.
  • Experience with visualization tools such as Tableau, Metabase, or Claude Visualization Tools is preferred.
  • Spanish and/or Portuguese fluency is preferred.
  • Experience in a fast-growing startup or fintech is preferred.

Benefits

  • Full-time remote position

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