Jeeves is the stablecoin-native banking platform for general enterprises. Thousands of companies across 35 countries run their corporate cards, payments, treasury and spend on one platform, with more than $5 B in annualized volume, payouts to 190 countries, and one of the fastest-growing stablecoin payment networks in the world. BMW, H& M, Lululemon, Burger King, Kavak and XP are among them, and more than 80% of customers use multiple Jeeves products.Jeeves extends credit to thousands of businesses across Latin America and beyond, and the quality of those decisions depends on the quality of our data. Our Credit & Analytics team has a clear roadmap: reliable portfolio monitoring, better risk models, and more automated credit decisioning. All of it depends on first getting our data foundation right — connecting and maintaining external data sources and cleaning up customer data consents — and today that work competes with day-to-day execution for the same few people.We're looking for a hands-on Senior Business Analyst to own that foundation and build on it. In your first months you'll lead the work to connect and validate external data (bureau, banking, open finance and tax data), clean up consent records so we can use that data reliably, and turn manual processes into repeatable ones. From there you'll use that data to shape credit policy: underwriting criteria, credit limit strategies, portfolio monitoring and early-warning signals that help us catch losses before they happen.This is a senior individual contributor role for someone who likes to get into the data themselves. You'll partner closely with data science, engineering, product, collections and sales,



and your work will directly shape how Jeeves makes credit decisions as we scale.
Location:
This role is based out of Mexico City, Mexico, and is a full-time hybrid position where it is required to come into our office in Roma Norte (2-3 days/week). #LI-HYBRIDWhat You'll Do: Data FoundationLead the integration and validation of external data sources — credit bureaus, bank and open finance data, tax and financial data — partnering with engineering on pipelines and data qualityOwn the cleanup of customer data consents and connections so external data can be pulled and refreshed reliably and in line with local requirementsReplace manual credit and portfolio processes with repeatable, documented SQL/Python workflowsDefine data quality checks and documentation so the team can trust what it's looking atCredit Policy & StrategyUse internal performance and external data to develop and refine underwriting criteria and credit limit strategiesDesign customer management strategies, including credit line increases, decreases and reinstatementsPartner with Sales and Business Development so growth strategies stay consistent with Jeeves's credit policyDefine portfolio KPIs and build dashboards to track portfolio health and strategy performanceDevelop,



validate and monitor credit risk modelsHelp define the rules and data requirements for automated credit decisioning with Product and EngineeringTranslate model results into clear recommendations for credit leadership and business partnersUse AI tools to support your analysis, and verify their outputs against source data3–7 years of analytics experience in credit risk, with hands-on work on commercial or SMB credit in cards, payments, lending or a related industry~ Advanced SQL — you write your own queries against large, messy datasets and are comfortable validating data quality~ Working proficiency in Python for analysis and statistical modeling (regression, segmentation, clustering)~ Experience with version control (e.g., Git Hub) for sharing and maintaining code is a plus~ Direct experience working with external or alternative data sources (bureau, banking, open finance, tax or similar), ideally including integrating or cleaning them~ A track record of turning analysis into a credit policy or strategy change that was implemented, with measurable results~ Clear written and verbal communication — you can explain a model result or data issue to a non-technical stakeholder~ Professional fluency in English — Jeeves is a global company and English is the language we use internally to communicate between regions~ Knowledge of Latin American credit data and open finance ecosystems (e.g., Experience implementing, validating or monitoring risk and scoring models alongside data science teamsExperience with visualization tools such as Tableau, Metabase, Claude Visualization Tools.Fluency in Spanish and/or Portuguese

📌 Senior Credit & Analytics Data Strategist - Remote (Ciudad de México)
🏢 Jeeves
📍 Ciudad de México