Senior Risk Data Analyst: Automate Controls & Dashboards

R2; San Mateo (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Phantom Share Program

Ownership of tooling and automation

Job summary

R2 is seeking a hands-on Risk Sr Data Analyst (IC3) to build, automate, and validate controls that keep operations reliable as we scale across Latin America. The role emphasizes writing SQL, scripting in Python, and building dashboards to monitor risk in real time.

The ideal candidate is analytical, technically fluent, and capable of turning ambiguous processes into data-driven, automated checks that run themselves. Join a fast-growing fintech team with exposure to major regulatory challenges.

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 related field.
• Strong SQL skills; able to write and optimize queries against large datasets to test controls and analyze exceptions.
• Working proficiency in Python for automating control tests and data analysis.
• Experience building dashboards and reporting in Looker, Tableau, or Power BI.
• Ability to translate process or control requirements into automated, testable logic.

Responsibilities

• Implement, execute, and maintain preventive, detective, and monitoring controls across key processes.
• Write SQL to query production data to test controls and investigate exceptions.
• Build Python scripts to automate control testing and generate reproducible results.
• Design dashboards and KPI reporting to make control health visible to stakeholders.
• Validate controls operate as intended; define and run test cases against real data.

Skills

SQL

Python

Risk analytics

Data analysis

Looker/Tableau/Power BI

Git

Tools

Looker

Tableau

Power BI

Git

Job description

R2 is seeking a hands-on Risk Sr Data Analyst (IC3) to build, automate, and validate controls that keep operations reliable as we scale across Latin America. The role emphasizes writing SQL, scripting in Python, and building dashboards to monitor risk in real time.

The ideal candidate is analytical, technically fluent, and capable of turning ambiguous processes into data-driven, automated checks that run themselves. Join a fast-growing fintech team with exposure to major regulatory challenges.