Risk Sr Data Analyst (LatAm Only)
At R2 , we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions tailored to their needs. We are reimagining the financial infrastructure of Latin America, where SMBs’ financial needs are met without ever having to go to a bank.
R2 enables platforms across Latin America to embed financial services that SMBs can leverage, starting with revenue-based financing. We are a high-performing, close-knit team with talent from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, and J.P. Morgan.
We are entering a new phase of growth following a strategic investment from Ant International, focused on rapidly expanding our partner footprint, strengthening our credit and underwriting capabilities, and scaling operations across multiple markets. As part of this growth journey, eligible team members have the opportunity to participate in R2 ’s Phantom Share Program, a performance-based incentive designed to align our team with the company’s long-term success and value creation. We believe in building a culture of ownership, where those who help create value share meaningfully in it.
R2 is scaling quickly, and with that growth comes increasing operational complexity. We are looking for a hands-on Risk Sr Data Analyst (IC3) to help build, automate, and validate the controls that keep our operations reliable as we scale. This is a highly technical, execution-focused role for someone comfortable working directly with data: writing SQL to interrogate our systems, scripting in Python to automate control testing, and building dashboards that make risk and control performance visible in real time.
This person will turn control requirements into working, testable, automated checks, not slide decks or policy documents alone. The right candidate is analytical, technically fluent, and energized by taking an ambiguous process and turning it into a monitored, data-driven control that runs itself.
What You'll Do:
- Implement, execute, and maintain preventive, detective, and monitoring controls across key business and operational processes
- Write SQL to query production and analytical data sources to test controls, pull audit evidence, and investigate exceptions across large datasets
- Build and maintain Python scripts and automated routines that test controls on a recurring basis, flag exceptions, and generate reproducible results
- Design and build control-monitoring dashboards and KPI reporting (e.g. Tableau) so control health and risk indicators are visible to stakeholders
- Translate control designs and process requirements into concrete, automated checks and validation logic
- Validate that controls are operating as intended: define test cases, run them against real data, quantify exceptions, and document results
- Analyze workflows and data to identify control gaps, failure points, manual dependencies, and areas of elevated operational risk
- Partner with Risk, Product, Operations, Finance, Compliance, Technology, and Data teams to embed automated controls into system workflows and daily operations
- Maintain clear documentation of control logic, test procedures, data sources, and results to support internal and external review
- Track control exceptions and issues through to remediation, and re-test to confirm closure
- Apply a solid understanding of risk and control principles (including COSO-based thinking) to ensure the controls you build are meaningful and auditable
- Operate with high ownership in an environment that is still building process discipline and tooling maturity
Who You Are:
- 3–6 years of experience in a technical, data-driven role such as risk/data analytics, controls testing, internal audit analytics, data analysis, or a related field
- Strong, han