On-Site Fraud Controls Tester & Data Analytics Specialist – DC

ZipStaff Inc.; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401(k) + matching

Paid time off

Referral Program

Job summary

ZipStaff Inc. is seeking a Controls Testing and Data Analytics Specialist for a new fraud risk program at a major passenger-rail organization in Washington, DC. This is a hands-on role focused on testing controls against financial, operational, and cyber fraud risks.

You will design data-driven tests, build monitoring scripts in SQL, Python, or Power BI, and produce actionable findings for the Office of Inspector General. This position requires on-site work in Washington, DC.

Qualifications

• 5+ years personally executing ICFR, operational control testing, or SOX compliance - not only directing others.
• Data analytics used to automate testing and flag fraud indicators: SQL, Python, Power BI, ACL, or IDEA.
• Able to stand up a process where none exists.
• Able to influence control owners in writing and in the room.
• On-site in Washington, DC; US work authorization.

Responsibilities

• Design, build, and execute data-driven control tests across financial and operational risk.
• Build continuous-monitoring scripts and models in SQL, Python, or Power BI.
• Take hotline intake, review anomalous flags, and compile forensic handoffs for the OIG.
• Work with finance and technology to strengthen ICFR and operational fraud controls.
• Recommend how an unstructured fraud framework should mature.

Skills

5+ years ICFR testing / SOX

Influencing control owners

On-site work readiness

Tools

SQL

Python

Power BI

ACL

IDEA

Job description

ZipStaff Inc. is seeking a Controls Testing and Data Analytics Specialist for a new fraud risk program at a major passenger-rail organization in Washington, DC. This is a hands-on role focused on testing controls against financial, operational, and cyber fraud risks.

You will design data-driven tests, build monitoring scripts in SQL, Python, or Power BI, and produce actionable findings for the Office of Inspector General. This position requires on-site work in Washington, DC.