Control Testing & Data Analytics Specialist

 Hiring: Controls Testing & Data Analytics Specialist (Internal Audit & Fraud Risk Analytics)

 Location: Washington, DC (Onsite)

 Rate:$50/hr on C2C / $40/h on W2

 Visa: / USC

 Experience: 5+ Years

Role: Test financial and operational controls, analyze data to identify control weaknesses and potential fraud, and recommend improvements.

Mandatory Skills:

- 5+ years in Internal Audit, SOX, ICFR, or Operational Controls Testing.

- Hands-on experience designing and executing control tests.

- Practical experience with SQL, Python, Power BI, ACL, or IDEA for data analytics and fraud detection.

- Strong communication and problem-solving skills.

- Ability to work independently in an evolving environment.

Preferred: Government, infrastructure, construction, transportation, or federally funded project auditing experience.

Not a fit: Candidates with experience only in IT audit, AML, check fraud, or cybersecurity fraud.

📩 Apply: Send your updated resume to

Job Description

Operating within a newly established fraud risk management program, the Controls Testing & Data Analytics Lead Specialist bridges the gap between traditional operational/financial auditing and modern data analytics. This role is responsible for the hands-on evaluation, testing, and continuous monitoring of control environments to mitigate a landscape of 180 financial, operational, and cyber fraud risks.

This is an individual contributor role focused on active execution, not high-level oversight. The ideal candidate will leverage data analytics to build stronger safeguards from the ground up, manage hotline interactions, flag anomalous data, and compile structured insights for seamless handoffs to the Office of Inspector General (OIG) for formal investigation.

Key Responsibilities

• Hands-on Execution: Design, build, and directly execute data-driven control testing procedures to identify gaps and vulnerabilities across enterprise-wide risk vectors.
• Continuous Monitoring: Develop and implement continuous monitoring scripts and analytical models (using SQL, Python, PowerBI, etc.) to track control effectiveness in real-time.
• OIG Collaboration: Manage intake from hotline interactions, evaluate anomalous data flags, and compile comprehensive, structured insights for clean forensic handoffs to the OIG.
• Process Optimization: Collaborate actively with finance, internal stakeholders, and technology teams to build and optimize robust Internal Control over Financial Reporting (ICFR) and operational fraud control activities.
• Vocal Leadership: Provide proactive recommendations and vocal feedback to leadership to mature and better define an unstructured, evolving fraud risk management framework.