Internal Audit Data Analyst

Selene Finance LP•Dallas, TX

About The Position

The Internal Audit Data Analyst supports the Internal Audit function by leveraging advanced data analytics to identify risks, detect anomalies, and provide actionable insights that enhance audit effectiveness and business outcomes. This role partners closely with the Internal Audit Team to design, execute, and maintain data‑driven analyses across financial, operational, compliance, and technology processes, particularly within mortgage servicing operations, while also contributing directly to audit planning and execution. The ideal candidate combines strong analytical and technical skills with a solid understanding of internal audit methodology. The role needs to be comfortable working with large, complex datasets, clearly communicating results to both technical and non‑technical audiences, and performing internal audit testing. Depending on workload and risk priorities, the role may also lead audit engagements, including planning, testing, and reporting activities.

Requirements

A bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, or a related field is required, unless equivalent experience is demonstrated.
5+ years of progressively responsible experience in data analytics. This includes hands‑on experience extracting, validating, and analyzing data from business systems.
5+ years of experience supporting or performing internal audit, risk management, compliance, or control‑focused reviews within a regulated environment.
2+ years of mortgage servicing experience

Nice To Haves

Advanced proficiency in data analysis tools and techniques, including Excel, Power BI, SSMS, Python, Tableau, Alteryx, or comparable tools.
Experience working with audit management and governance tools such as AuditBoard, TeamMate, Workiva, Galvanize, or similar platforms.
Professional certifications (e.g., CIA, CISA, CPA, Data Analytics certifications) are a plus.

Responsibilities

Design, develop, and execute data analytics to support audit planning, scoping, testing, and risk assessments.
Code repeatable and automated analytics to identify trends, outliers, control gaps, and emerging risks.
Support continuous auditing and monitoring activities in high-risk areas.
Develop analytics that reduce manual audit testing and improve efficiency.
Maintain documentation for analytics, including data sources, assumptions, logic, and limitations.
Assist auditors in interpreting data results and translating them into audit observations
Perform and lead internal audit engagements end-to-end, including planning, risk assessment, fieldwork, testing, issue validation, and reporting across Selene’s mortgage servicing operations.
Develop audit programs, Risk & Control Matrices (RCMs), and testing approaches aligned with Internal Audit standards.
Execute tests of design and operating effectiveness and document workpapers in accordance with Internal Audit quality standards.
Draft clear, well-supported audit observations, root causes, risk statements, and recommendations.
Validate management remediation and perform follow-up testing as required.
Lead 2–4 audit engagements annually, depending on audit plan needs and workload.
May direct staff auditors or co-sourced resources during audit engagements.
Extract, transform, and analyze data from multiple sources (e.g., mortgage servicing platforms, ERP systems, operational systems, spreadsheets, databases)
Validate data completeness and accuracy prior to analysis.
Maintain reusable analytics scripts, dashboards, and models.
Partner with IT and data teams to improve data accessibility and reliability.
Prepare clear, concise, executive-ready summaries of audit results and analytical insights for audit teams and management.
Develop visualizations, dashboards, and reports to communicate trends and risks effectively.
Present analytical and audit findings to Internal Audit leadership and audit teams.
Clearly translate technical and data-driven results into business-relevant observations.
Partner with Internal Audit, Compliance, Risk Management, IT, and business stakeholders to understand processes, risks, and data flows.
Identify opportunities to enhance audit coverage, efficiency, and effectiveness through automation and analytics.
Contribute to the development of a reusable audit analytics library.
Stay current on internal audit practices, data analytics techniques, tools, and emerging risks within mortgage servicing space.