Senior Business Analyst, Credit & Analytics

Tryjeeves; Argentina; Remote; ARS 136,430,000 - 181,906,000; Full time

Job summary

Jeeves is seeking an Analytics Lead to join our data foundation and credit policy teams in a fully remote, global role. You will lead data integration, model development and risk analysis to guide underwriting and portfolio management across international markets.

Join a fast-growing fintech that leverages SQL, Python, and AI to replace manual processes with scalable, data-driven decisions. Fluency in English is essential, with overlap to Latin American business hours.

Qualifications

• 3–7 years analytics experience in credit risk across cards/payments/lending or related industries.
• Advanced SQL: write own queries and validate data quality.
• Python for analysis and modeling (regression, segmentation, clustering).
• Experience with version control (GitHub) for sharing code is a plus.
• Experience with external data sources (bureau, banking, open finance, tax).
• Familiarity with AI tools (Claude, ChatGPT, Gemini).
• Track record turning analysis into credit policy or strategy changes with measurable results.
• Strong written and verbal communication to explain models to non-technical stakeholders.
• Fluency in English; ability to overlap with Latin American business hours.

Responsibilities

• Lead integration and validation of external data sources; partner with engineering on pipelines and data quality.
• Own cleanup of customer data consents and connections for reliable refreshing.
• Replace manual credit processes with repeatable SQL/Python workflows.
• Define data quality checks and documentation for trust in results.
• Develop underwriting criteria and credit limit strategies using internal/external data.
• Design customer management strategies including credit line changes.
• Identify high-risk customers early and mitigate losses.
• Collaborate with Sales/BD to align with credit policy.
• Define portfolio KPIs and dashboards; monitor health and performance.
• Create early-warning signals and monitoring routines for accounts.
• Provide segmentation and prioritization insights to Collections.
• Contribute to loss forecasting and risk-adjusted return analysis with Finance.
• Apply statistical methods to uncover risk drivers; inform strategy.
• Develop, validate and monitor credit risk models.
• Help define rules for automated credit decisioning with Product/Engineering.
• Translate model results into actionable recommendations for leadership.
• Use AI tools to support analysis and verify outputs; suggest improvements to AI workflows.

Skills

Analytics experience

Advanced SQL

Python for analysis

GitHub

Independent ownership

External data experience

AI tools (Claude, ChatGPT, Gemini)

Model impact to policy

Communication skills

English fluency

LATAM overlap hours

Tools

GitHub

Tableau

Metabase

Claude Visualization Tools

Job description

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.

Location

This is a full-time remote position.

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

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

• 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