Senior Data Scientist - Audit

Summary

Join Mercury, a financial technology company, as a Senior Data Scientist and partner with the Internal Audit team to assess internal controls and data systems. You will support the third line of defense, ensuring stakeholders have confidence in risk management. This pivotal role offers the chance to work on critical challenges ensuring Mercury builds trustworthy financial infrastructure. You will design, implement, and evaluate analytics; conduct data validation; build testing frameworks; and communicate findings clearly. Collaborate with Data Engineers and Analysts to improve data infrastructure. This role is crucial for maintaining the highest standards of integrity and regulatory compliance.

Requirements

• 4+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years supporting audit, internal controls, or regulatory exam functions
• Fluency in SQL and experience using it to understand and manage imperfect data
• A deep understanding of data lineage and systems of record in complex environments
• Familiarity with audit methodology and regulatory frameworks
• Exceptional attention to detail and a low tolerance for ambiguity in analytical work
• Comfort working in fast-paced, evolving environments with stakeholders of varying technical backgrounds
• Strong organizational and communication skills. You will need to effectively manage and prioritize competing priorities to maximize impact

Responsibilities

• Partner closely with Audit and cross-functional stakeholders to design, implement, and evaluate analytics that assess the effectiveness of controls
• Conduct rigorous data validation and QA processes to support internal audits, regulatory exams, and control testing
• Build reproducible testing frameworks and metrics dashboards that improve visibility and transparency for audit outcomes
• Deep dive into data lineage to trace and verify the flow of information from source to report
• Support audit planning and execution with exploratory data analysis, control sample design, and issue tracking
• Communicate findings with clarity and precision, producing deliverables that stand up to external scrutiny
• Collaborate with Data Engineers and Analysts to improve data infrastructure, pipelines, and observability for audit-relevant systems

Preferred Qualifications

• Fluency in Python
• Experience building scalable data pipelines and ETL processes with DBT or similar
• Experience executing controls testing

Benefits

• Base salary
• Equity (stock options)