Risk Data Analyst

This is a fully remote position, open to applicants in Argentina, +1 more country.

📋 Description

• Execute, implement, and uphold preventive, detective, and monitoring controls across key business and operational processes.

• Utilize SQL to query production and analytical data sources for the purpose of testing controls, gathering audit evidence, and investigating exceptions within extensive datasets.

• Develop and sustain Python scripts and automated routines that regularly test controls, identify exceptions, and produce reproducible outcomes.

• Create and design control-monitoring dashboards and KPI reporting (e.g., Tableau) to ensure visibility of control health and risk indicators for stakeholders.

• Convert control designs and process requirements into tangible, automated checks and validation logic.

• Confirm that controls function as intended by defining test cases, executing them against actual data, quantifying exceptions, and documenting the results.

• Examine workflows and data to pinpoint control gaps, failure points, manual dependencies, and areas of increased operational risk.

• Collaborate with Risk, Product, Operations, Finance, Compliance, Technology, and Data teams to integrate automated controls into system workflows and daily operations.

• Keep comprehensive documentation of control logic, testing procedures, data sources, and results to facilitate internal and external review.

• Monitor control exceptions and issues until remediation is achieved, and re-test to verify closure.

• Apply a strong understanding of risk and control principles (including COSO-based thinking) to ensure that the controls you develop are significant and auditable.

• Demonstrate high ownership in an environment that is still developing process discipline and tooling maturity.

⛳️ Requirements

• 3–6 years of experience in a technical, data-centric role such as risk/data analytics, controls testing, internal audit analytics, data analysis, or a related field.

• Proficient, hands-on SQL capabilities — capable of independently writing and optimizing queries against large datasets for control testing and exception analysis.

• Working knowledge of Python for automating control tests, creating validation scripts, and conducting data analysis (e.g., pandas).

• Experience in constructing dashboards and reporting using a BI tool such as Looker, Tableau, or Power BI.

• Proven ability to transform a process or control requirement into automated, testable logic — this role is focused on building rather than advising.

• Familiarity with internal control concepts and frameworks such as COSO, along with knowledge on how to test controls for design and operating effectiveness is advantageous.

• Strong analytical judgment: capable of identifying anomalies in data, quantifying risk, and distinguishing signal from noise.

• Comfortable navigating ambiguity and limited structure, converting it into repeatable, documented processes.

• Exceptional written and verbal communication skills, with the ability to convey technical findings clearly to non-technical stakeholders.

• Experience in fintech, lending, payments, or another regulated financial services environment is highly preferred.

• Familiarity with data pipelines, version control (Git), or workflow automation is a bonus.

🏝️ Benefits

• An opportunity to join a high-impact, mission-driven fintech with a regional presence.

• Responsibility for the tools and automation supporting R2’s control environment within a fast-paced, growth-focused startup.

• Cross-functional collaboration with outstanding teams throughout Latin America.

• Exposure to complex regulatory challenges and innovation in embedded finance.