Risk Sr Data Analyst (IC3)

Key Responsibilities

• 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.

Requirements

• 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.

• Understanding of internal control concepts and frameworks such as COSO, and how to test controls for design and operating effectiveness is nice to have.

• 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.

• 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.

Benefits

• The chance to join a high-impact, mission-driven fintech with regional scale.

• Ownership of the tooling and automation behind R2’s control environment in a fast-paced, growth-oriented startup.

• Cross-functional collaboration with exceptional teams across Latin America.

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