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.
What You'll Do:
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Analyze new corporate card applications from Colombian startups and SMBs, reviewing financial statements (DRE, balanço), bank data, bureau reports and our internal model score
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Prepare clear credit recommendations — proposed limit, key risks, mitigants — for review and approval
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Explain how the model score and the non-model parts of your assessment fit together, in writing and verbally
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Research borrowers and their industries to understand what could affect their ability to pay
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Work a share of the daily application queue within agreed turnaround times
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Run periodic reviews of existing accounts, including limit increase and decrease requests
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Track portfolio health (utilization, payment behavior, delinquency) and flag accounts that need attention
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Partner with Collections on accounts showing early signs of stress
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Keep account files and credit memos organized so any teammate can pick up a decision
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Use AI tools to support your analysis, and verify their outputs against source data
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Suggest and help build improvements to our AI workflows as you see what works and what doesn't
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Build enough context on the Colombia book to cover the queue and key accounts when our senior underwriter is out
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Help document underwriting guidelines, decision rationale and recurring edge cases
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Suggest improvements that make the underwriting process faster or more consistent
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Help evaluate new Colombian data sources (bureaus, Open Finance data, receivables data) alongside the team
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Give Sales and Account Management clear, timely answers on applications and limits — including the reasoning behind a "no"
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Join customer conversations when more financial information is needed to make a decision
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Share what you see in the Colombia market with the wider Credit & Risk team
Credit Analysis & Underwriting
Portfolio Monitoring
Working With AI
Business Continuity & Process
Cross-Functional Partnership
Minimum Requirements:
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2–4 years of experience in credit analysis, underwriting or credit risk in Colombia — at a bank, fintech, FIDC, credit bureau, factoring company or similar
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Hands-on experience reading and analyzing Colombian company financial statements and building a view on repayment capacity
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Working familiarity with Colombian credit data sources such as Serasa, Boa Vista, SCR (Banco Central) or similar
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Experience conducting conversations with clients to clarify questions regarding the financial and risk information provided for analysis.
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Strong Excel or Google Sheets skills — comfortable building a simple analysis from raw data
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Experience using AI tools such as Claude, ChatGPT or Gemini in your analytical work, and curiosity about using them more
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Can write a concise credit recommendation that a non-credit colleague can follow
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Fluent in Portuguese and professionally fluent in English (written and spoken) — English is how we work across regions
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Based in Bogotá and able to work hybrid from our Parque de la 93 office
Preferred Qualifications:
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Experience underwriting SMB or commercial credit (as opposed to consumer only)
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Exposure to corporate cards, payments, working capital or other revolving credit products
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Some experience with SQL, Python or BI tools for pulling and analyzing portfolio data
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Experience at a high-growth startup or fintech
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Degree in Finance, Economics, Accounting, Business, Engineering or a related field