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.
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. It is not a people-management role today.
Location: This is a full-time remote position. #LI-REMOTEWhat You'll Do:
Lead 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 quality
Own the cleanup of customer data consents and connections so external data can be pulled and refreshed reliably and in line with local requirements
Replace manual credit and portfolio processes with repeatable, documented SQL/Python workflows
Define data quality checks and documentation so the team can trust what it's looking at
Use internal performance and external data to develop and refine underwriting criteria and credit limit strategies
Design customer management strategies, including credit line increases, decreases and reinstatements
Identify high-risk customers early and build processes to mitigate losses
Partner with Sales and Business Development so growth strategies stay consistent with Jeeves's credit policy
Define portfolio KPIs and build dashboards to track portfolio health and strategy performance
Build early-warning signals and monitoring routines that flag deteriorating accounts
Give Collections the segmentation and prioritization insights they need to improve recovery
Contribute to loss forecasting and risk-adjusted return analysis with Finance
Apply statistical methods (logistic regression, segmentation, clustering) to uncover risk drivers and inform strategy
Develop, validate and monitor credit risk models
Help define the rules and data requirements for automated credit decisioning with Product and Engineering
Translate model results into clear recommendations for credit leadership and business partners
Use AI tools to support your analysis, and verify their outputs against source data
Suggest and help build improvements to our AI workflows as you see what works and what doesn't
Data Foundation
Credit Policy & Strategy
Portfolio Monitoring & Collections Support
Models & Automation
Working With AI
Minimum Requirements:
3–7 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., GitHub) for sharing and maintaining code is a plus
Able to work independently and take ownership
Direct experience working with external or alternative data sources (bureau, banking, open finance, tax or similar), ideally including integrating or cleaning them
Experience using AI tools such as Claude, ChatGPT or Gemini in your analytical work, and curiosity about using them more
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
Able to work with meaningful overlap with Latin American business hours
Preferred Qualifications
Knowledge 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 teams
Experience supporting collections strategy or early-warning programs
Experience with visualization tools such as Tableau, Metabase, Claude Visualization Tools.
Fluency in Spanish and/or Portuguese
Experience in a high-growth startup or fintech
Skills Required
- 3–7 years of analytics experience in credit risk, including hands-on commercial or SMB credit experience in cards, payments, lending, or a related industry
- Advanced SQL skills, including writing queries against large, messy datasets and validating data quality
- Working proficiency in Python for analysis and statistical modeling, including regression, segmentation, and clustering
- Ability to work independently and take ownership
- Direct experience with external or alternative data sources such as bureau, banking, open finance, or tax data
- Experience using AI tools such as Claude, ChatGPT, or Gemini in analytical work
- Track record of converting analysis into an implemented credit policy or strategy change with measurable results
- Clear written and verbal communication skills for explaining model results and data issues to nontechnical stakeholders
- Professional fluency in English
- Ability to work with meaningful overlap with Latin American business hours
- Experience with version control, such as GitHub
- Knowledge of Latin American credit data and open finance ecosystems, including Mexico, Brazil, or Colombia
- Experience implementing, validating, or monitoring risk and scoring models with data science teams
- Experience supporting collections strategy or early-warning programs
- Experience with visualization tools such as Tableau, Metabase, or Claude Visualization Tools
- Fluency in Spanish and/or Portuguese
- Experience in a high-growth startup or fintech
What We Do
Financial infrastructure built to power global businesses | [email protected] Jeeves (www.tryjeeves.com) is building international fintech infrastructure from scratch; this includes a global switching layer across countries and the ability to run all your company spend - corporate cards, non-card, and cross-border payment - on Jeeves. We are currently live in the US, Canada, the United Kingdom, Mexico, Brazil, Chile, Peru, Colombia, and Europe - launching in other locations shortly! ? Pay for anything. Anywhere. In your local currency. No fees and up to 3% cashback on spend. Join us.
