Risk Sr Data Analyst (LatAm Only)
RemoteUnited States
Job Summary
Implement preventive, detective, and monitoring controls across key business and operational processes by writing SQL to query production data, testing controls, and investigating exceptions. Build Python scripts to automate recurring control tests, flag exceptions, and generate reproducible results while designing dashboards to visualize control health and risk indicators. Translate control designs into concrete, automated checks and validation logic, then validate that controls operate as intended by defining test cases, quantifying exceptions, and documenting results. Analyze workflows to identify control gaps and partner with Risk, Product, Operations, Finance, Compliance, Technology, and Data teams to embed automated controls into system workflows. Track exceptions through remediation and re-test to confirm closure, applying COSO-based thinking to ensure controls are meaningful and auditable.
Required Qualifications
- 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, hands-on SQL skills — able to independently write and optimize queries against large datasets to test controls and analyze exceptions
- Working proficiency in Python for automating control tests, building validation scripts, and data analysis (e.g., pandas)
- Experience building dashboards and reporting in a BI tool such as Looker, Tableau, or Power BI
- Demonstrated ability to translate a process or control requirement into automated, testable logic — this is a builder role, not an advisory one
- Strong analytical judgment: able to spot anomalies in data, quantify risk, and separate signal from noise
- Comfortable working with ambiguity and limited structure, and turning it into repeatable, documented processes
- Excellent written and verbal communication skills, with the ability to explain technical findings clearly to non-technical stakeholders
Desired Qualifications
- Understanding of internal control concepts and frameworks such as COSO, and how to test controls for design and operating effectiveness is nice to have
- Experience in fintech, lending, payments, or another regulated financial services environment is strongly preferred
- Familiarity with data pipelines, version control (Git), or workflow automation is a plus
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