Jeeves - Senior Business Analyst, Credit & Analytics
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 • 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 • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• 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 • 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
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