Senior Business Analyst, Credit & Analytics

Jeeves is a groundbreaking financial operating system built for global businesses that provides corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries including Brazil, Canada, Colombia, Mexico, the United Kingdom, across Europe, and the United States, and serves over 5,000 clients ranging from venture-backed startups to SMBs around the world. With a mission to empower businesses with more efficient and cost-effective financial solutions worldwide, Jeeves combines cutting-edge financial technology with exceptional team expertise to transform the business financial landscape. Jeeves has been recognized as one of The Information's 50 Most Promising Startups in 2023, as well as a Y Combinator Top Company 2021-2023 and won “Fintech of the Year" at the European Fintech Awards.

Since graduating from Y Combinator in 2020, Jeeves has successfully raised over $380 million and is backed by top world-class investors including Andreessen Horowitz, Y Combinator, CRV, Tencent, Stanford University, Clocktower Ventures, and founders of more than 15 unicorns including David Velez (Nubank), Carlos Garcia (Kavak) and Sebastián Mejía (Rappi).

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-REMOTE

What You'll Do:

Data Foundation

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

Credit Policy & Strategy

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

Portfolio Monitoring & Collections Support

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

Models & Automation

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

Working With AI

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

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