Risk Data Analyst

Marathon Talent

. Implement, execute, and maintain preventive, detective, and monitoring controls across key business and operational processes.

Posted 10/6/2026full-timeRemote • Argentina, BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and Python for data analysis and control testing, with a strong focus on building automated validation logic and dashboards. Proficient in risk and control principles, particularly within regulated financial services environments.

Highest-signal resume keywords

SQL QueryingPython AutomationDashboard DevelopmentRisk And Control PrinciplesData Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonData AnalysisControl TestingAutomated ValidationKPI ReportingAnomaly DetectionTest Case DefinitionControl MonitoringDocumentation

Soft Skills

Analytical JudgmentCommunicationProblem-SolvingAdaptabilityOwnership

Tools & Technologies

TableauLookerPower BIGitData Pipelines

Industry Keywords

FintechLendingPaymentsRegulated Financial ServicesCOSO

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.