
Senior Risk Data Analyst β LatAm
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in Brazil, +1 more state.
β’ Execute, implement, and uphold preventive, detective, and monitoring controls within essential business and operational processes.
β’ Utilize SQL to extract data from production and analytical sources for control testing, audit evidence collection, and exception investigation across extensive datasets.
β’ Develop and sustain Python scripts and automated routines to consistently test controls, highlight exceptions, and produce reproducible outcomes.
β’ Create and design control-monitoring dashboards and KPI reports using platforms such as Tableau.
β’ Convert control designs and process specifications into tangible, automated checks and validation logic.
β’ Establish test cases, execute them against actual data, assess exceptions, and document the findings.
β’ Evaluate workflows and data to pinpoint control deficiencies, failure points, manual dependencies, and heightened operational risks.
β’ Collaborate with Risk, Product, Operations, Finance, Compliance, Technology, and Data teams to integrate automated controls into workflows and everyday operations.
β’ Preserve documentation of control logic, test procedures, data sources, and outcomes for both internal and external assessment.
β’ Monitor control exceptions and issues through remediation, followed by re-testing to ensure resolution.
β’ Apply risk and control principles, including COSO-based methodologies, to create significant and auditable controls.
β’ Demonstrate high ownership within an environment that fosters process discipline and tooling development.
β’ 3β6 years of experience in a technical, data-focused position such as risk/data analytics, controls testing, internal audit analytics, or data analysis.
β’ Proficient hands-on SQL capabilities, including the ability to independently craft and optimize queries for large datasets.
β’ Working knowledge of Python for automating control tests, developing validation scripts, and data analysis, including the use of pandas.
β’ Experience in creating dashboards and reports using BI tools like Looker, Tableau, or Power BI.
β’ Capability to translate process or control requirements into automated, testable logic.
β’ Familiarity with internal control concepts and frameworks like COSO, alongside knowledge of testing design and operational effectiveness, is desirable.
β’ Strong analytical skills to detect data anomalies, assess risk, and discern meaningful signals from background noise.
β’ Ability to navigate ambiguity and limited structure, transforming them into repeatable, documented processes.
β’ Exceptional written and verbal communication skills, enabling clear explanations of technical findings to non-technical stakeholders.
β’ Experience in fintech, lending, payments, or other regulated financial services sectors is highly preferred.
β’ Knowledge of data pipelines, version control systems such as Git, or workflow automation is an advantage.
β’ An opportunity to become part of a high-impact, mission-driven fintech with regional influence.
β’ Responsibility for the tooling and automation of R2βs control environment within a dynamic, growth-focused startup.
β’ Collaborative efforts with outstanding teams across Latin America.
β’ Engagement with complex regulatory challenges and innovation in embedded finance.
β’ Eligible team members can participate in R2βs Phantom Share Program, a performance-based incentive that aligns with the companyβs long-term success and value creation.
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