About the role
About Addi We are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly, grow together and where we create abundance and generate pride in them. Today, we serve over 2 million customers and partner with more than 20,000 merchants, making Addi Colombia’s fastest-growing marketplace. We provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing) using state-of-the-art technology, bridging the financial gap for millions and redefining how people experience financial freedom. As the country’s leading Buy Now, Pay Later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. In the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably. Our mission has earned the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, Victory Park Capital, and more, who back our vision for the future. With their support, we are not just growing—we are transforming Latin America’s financial ecosystem and shaping the next generation to shop, pay, and bank in Colombia. But what truly sets us apart is how we build. We are a conscious company, driven by deep experience in scaling technology, services and products, and we live by our values every day.
About
the Role This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading. What’s the mission you’ll drive Own the daily execution of Borrowing Base calculations, Loan Sales, and operational workflows, ensuring 100% data integrity and on-time lender submissions that protect Addi's liquidity while building the operational foundation needed to scale the company's capital markets facilities. What you will do Design and document the daily monitoring and reporting workflow for the facility, establish coordination protocols with ops teams and internal stakeholders Independently own end-to-end BB calculations and loan sale processes in Databricks and Excel. eliminating the current single point of failure and achieving full independent execution Partner with the data team to design and transition manual balance updates into automated pipelines, targeting a measurable reduction in manual handling across high-volume Excel files Maintain a lender-specific cut-off calendar, proactively flag at-risk deliverables, and build buffer into the daily workflow delivering zero late BB submissions Reorganize and standardize the Drive repository with version control protocols and filing conventions such that any CMO file can be located and verified within minutes during a lender or regulatory audit completed within 60 days of hire What we’re looking for Proven experience in financial operations within a bank, brokerage, or structured finance environment 2–3 years working in a financial institution (bank, asset manager, brokerage, or fintech with regulated credit operations) in a role with direct exposure to capital markets or treasury operations Has operated within processes that had hard external deadlines and zero tolerance for errors, think settlements, reconciliations, credit facility reporting, or similar Prior exposure to Borrowing Base calculations, loan sales, or credit facility management is a strong plus; candidates coming from back-office or ops roles at banks (e.g., Bancolombia, Davivienda, BTG, or equivalent) are well-positioned for this role Proven experience handling high-stakes financial data operations with zero-error tolerance Has owned daily financial reporting or operational processes where errors had direct downstream consequences, cash flows, lender relationships, or regulatory filings Can describe a specific instance where they caught a data discrepancy before it left