Senior Business Analyst, Credit & Analytics
What you need
- 3-7 yrs credit risk analytics in commercial/SMB credit
- Advanced SQL for large messy datasets
- Python for statistical modeling (regression, segmentation, clustering)
- Experience with external/alternative data sources (bureau, banking, open finance, tax)
- Track record turning analysis into implemented credit policy changes with measurable results
What you'll do
- Lead integration and validation of external data sources (bureau, banking, open finance, tax)
- Own cleanup of customer data consents for reliable data refresh
- Replace manual credit/portfolio processes with repeatable SQL/Python workflows
- Develop and refine underwriting criteria and credit limit strategies
- Build early-warning signals and monitoring routines to flag deteriorating accounts
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:
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
Optimize your resume for this job
Get a match score and the keywords you're missing
About Jeeves
Jeeves is a global payment and expense management network for small businesses.
Similar Business & Finance roles
