About Jeeves 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). Location Mexico City, Mexico. Full‑time hybrid: 2‑3 days per week in our office in Roma Norte. Job Responsibilities Develop best‑in‑class data‑driven credit policies and business strategies: leverage external and internal performance data to establish underwriting criteria, dynamic credit limit programs, and other processes to mitigate high‑risk customers; design and implement strategies to improve funnel metrics and credit quality for new customer originations; collaborate with sales and business development teams to preserve effective underwriting and apply Jeeves’ credit policy. Deliver advancements in data and analytics: contribute to building a data and analytics framework that improves processing, underwriting, tracking, risk management, and reporting; design and execute data‑driven analyses to enhance insights on credit risk for individuals and the portfolio; apply predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to generate business strategies; partner with data scientists to build and leverage credit risk models. Improve credit monitoring and governance: build dashboards to monitor portfolio health and strategy performance; develop and implement improvements to portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments. Required Qualifications 2+ years of analytics experience within credit risk management. Fluency in English. Excellent written and verbal communication skills. Intellectual curiosity. Ability to translate complex data and model results into actionable business strategies. Proficiency in SQL and Excel. Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.). Preferred Qualifications Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries. Experience utilizing alternative data sources. Experience architecting, implementing, and interpreting risk/scoring models with data science teams. Experience in high‑growth startups. Experience with visualization tools such as Tableau. Experience building complex financial products and models. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Seniority Level Associate Employment Type Full‑time Job Function Research, Analyst, and Information Technology Industries Transportation, Logistics, Supply Chain and Storage #J-18808-Ljbffr