Jeeves is the stablecoin-native banking platform for global enterprises.
Thousands of companies across 35 countries run their corporate cards, payments, treasury and spend on one platform, with more than $5B 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.We chose hard problems on purpose.We hire for one thing: relentlessness.
A strong motor that keeps going when the problem has no playbook.
You'll know in your first week if Jeeves is right for you.
For the right people, it's the steepest learning curve of your career.Jeeves has raised more than $400 million in equity funding from Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, CoinFund and others.If you want to rebuild how money moves across borders, come build it with us.LocationThis is a full-time remote position.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 reinstatementsIdentify high-risk customers early and build processes to mitigate lossesPartner with Sales and Business Development so growth strategies stay consistent with Jeeves's credit policyPortfolio Monitoring & Collections SupportDefine portfolio KPIs and build dashboards to track portfolio health and strategy performanceBuild early-warning signals and monitoring routines that flag deteriorating accountsGive Collections the segmentation and prioritization insights they need to improve recoveryContribute to loss forecasting and risk-adjusted return analysis with FinanceModels & AutomationApply statistical methods (logistic regression, segmentation, clustering) to uncover risk drivers and inform strategyDevelop, 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 partnersWorking With AIUse AI tools to support your analysis, and verify their outputs against source dataSuggest and help build improvements to our AI workflows as you see what works and what doesn'tRequirements3–7 years of analytics experience in credit risk,



with hands-on work on commercial or SMB credit in cards, payments, lending or a related industryAdvanced SQL — you write your own queries against large, messy datasets and are comfortable validating data qualityWorking proficiency in Python for analysis and statistical modeling (regression, segmentation, clustering)Experience with version control (e.g., GitHub) for sharing and maintaining code is a plusAble to work independently and take ownershipDirect experience working with external or alternative data sources (bureau, banking, open finance, tax or similar), ideally including integrating or cleaning themExperience using AI tools such as Claude, ChatGPT or Gemini in your analytical work, and curiosity about using them moreA track record of turning analysis into a credit policy or strategy change that was implemented, with measurable resultsClear written and verbal communication — you can explain a model result or data issue to a non-technical stakeholderProfessional fluency in English — Jeeves is a integral company and English is the language we use internally to communicate between regionsAble to work with meaningful overlap with Latin American business hoursPreferredKnowledge of Latin American credit data and open finance ecosystems (e.g., Mexico, Brazil, Colombia)Experience implementing, validating or monitoring risk and scoring models alongside data science teamsExperience supporting collections strategy or early-warning programsExperience with visualization tools such as Tableau, Metabase, Claude Visualization Tools.Fluency in Spanish and/or PortugueseExperience in a high-growth startup or fintech
#J-*****-Ljbffr

📌 Senior Business Analyst, Credit & Analytics (Rosario)
🏢 Tryjeeves
📍 Rosario