Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Zuven technologies Inc is seeking a Controls Testing & Data Analytics Lead Specialist to bridge the gap between traditional auditing and data analytics. This role emphasizes hands-on testing and developing data-driven controls across enterprise risk vectors.
You will design tests, build continuous monitoring scripts using SQL, Python, and PowerBI, collaborate with OIG, and help mature the ICFR and fraud framework through proactive leadership.
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.
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.
Hands-on Audit & Control Experience: A strong, established background in Internal Control over Financial Reporting (ICFR), operational control testing, or SOX compliance.
Note: Candidates whose experience is limited strictly to IT control testing, Anti-Money Laundering (AML), Check Fraud, or Cyber-only fraud will not be considered.
Recent Execution Focus: Demonstrated recent experience personally executing and building tests, rather than directing, managing, or overseeing the work of others.
Data Analytics for Fraud Detection: Proven technical capability to write and leverage data analytics (e.g., SQL, Python, PowerBI, ACL, IDEA) to automate and scale control testing and identify fraud indicators rather than relying solely on manual auditing.
Adaptability: Thrives in an unstructured, evolving environment and possesses the problem-solving mindset necessary to establish processes where none currently exist.
Communication: Exceptional collaborative and vocal communication skills to actively influence control owners and make strategic process suggestions.
Preferred Industry Experience
Target Industries: Heavy preference for candidates with experience auditing within federally funded entities, infrastructure projects, transportation, construction, or highly project-heavy environments.
Required Skills :Basic Qualification :Additional Skills :
Background Check : NoDrug Screen : No