Lead Data Analyst - Enterprise Fraud Risk Management
Job Description
Randstad is seeking a Lead Data Analyst to join the Enterprise Fraud Risk Management team for a transportation client. In this fully remote, 12-month contract role, you will act as a foundational member of a rapidly growing program within the Finance department, which oversees more than 180 identified internal and external fraud risks (including procurement, cyber, and financial statement fraud).
Because this is a newly established program with evolving processes, we are seeking a proactive data professional who thrives in a highly dynamic, unstructured environment and enjoys building data discovery processes from scratch. In this role, you will not conduct formal investigations; instead, you will utilize exploratory analytics to hunt for anomalous patterns and establish the critical workflows required to hand off high-quality insights to Amtrak's Office of Inspector General (OIG).
Key Responsibilities
Perform deep-dive exploratory analytics and data discovery to identify anomalies, trends, and potential indicators of internal and external fraud.
Partner closely with Digital Technology (DT) and Governance, Risk, and Compliance (GRC) teams to design and implement technological fraud solutions.
Build, define, and refine unstructured data processes to establish clean workflows and robust documentation for anomaly handoffs to the OIG.
Actively provide feedback and strategic recommendations on analytical paths, adapting strategies fluidly when data models or discovery directions need to pivot.
Collaborate with stakeholders across procurement, cyber, and finance to map data structures to enterprise-wide fraud risks.
Qualifications
Proven mid-to-senior level experience in data analytics, data discovery, and advanced data mining.
Strong experience working with fraud analytics, anomaly detection, or forensic data analysis.
Demonstrated ability to work independently and maintain high performance in an ambiguous, "greenfield" program environment.
Exceptional communication skills with the confidence to propose new methodologies and voice proactive feedback to leadership.
Location/Time Zone: Must be willing to work strict East Coast hours. Preference for candidates residing in the Northeast Corridor (specifically between Philadelphia, PA, Wilmington, DE, and Washington, D.C.), though top-tier remote talent across the US will be considered.
Industry Experience: Prior experience in transportation, construction, large-scale asset-intensive sectors, or the financial sector is highly preferred.
location: Washington, Washington, D.C.
job type: Contract
salary: $60 - 65 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Lead Data Analyst - Enterprise Fraud Risk Management Job Description Randstad is seeking a Lead Data Analyst to join the Enterprise Fraud Risk Management team for a transportation client. In this fully remote, 12-month contract role, you will act as a foundational member of a rapidly growing program within the Finance department, which oversees more than 180 identified internal and external fraud risks (including procurement, cyber, and financial statement fraud).
Because this is a newly established program with evolving processes, we are seeking a proactive data professional who thrives in a highly dynamic, unstructured environment and enjoys building data discovery processes from scratch. In this role, you will not conduct formal investigations; instead, you will utilize exploratory analytics to hunt for anomalous patterns and establish the critical workflows required to hand off high-quality insights to Amtrak's Office of Inspector General (OIG).
Key Responsibilities
- Perform deep-dive exploratory analytics and data discovery to identify anomalies, trends, and potential indicators of internal and external fraud.
- Partner closely with Digital Technology (DT) and Governance, Risk, and Compliance (GRC) teams to design and implement technological fraud solutions.
- Build, define, and refine unstructured data processes to establish clean workflows and robust documentation for anomaly handoffs to the OIG.
- Actively provide feedback and strategic recommendations on analytical paths, adapting strategies fluidly when data models or discovery directions need to pivot.
- Collaborate with stakeholders across procurement, cyber, and finance to map data structures to enterprise-wide fraud risks.
- Proven mid-to-senior level experience in data analytics, data discovery, and advanced data mining.
- Strong experience working with fraud analytics, anomaly detection, or forensic data analysis.
- Demonstrated ability to work independently and maintain high performance in an ambiguous, "greenfield" program environment.
- Exceptional communication skills with the confidence to propose new methodologies and voice proactive feedback to leadership.
- Location/Time Zone: Must be willing to work strict East Coast hours. Preference for candidates residing in the Northeast Corridor (specifically between Philadelphia, PA, Wilmington, DE, and Washington, D.C.), though top-tier remote talent across the US will be considered.
- Industry Experience: Prior experience in transportation, construction, large-scale asset-intensive sectors, or the financial sector is highly preferred.
qualifications:
Proven mid-to-senior level experience in data analytics, data discovery, and advanced data mining.
Strong experience working with fraud analytics, anomaly detection, or forensic data analysis (e.g., procurement fraud, cyber fraud, or financial statement analysis).
Demonstrated ability to work independently and maintain high performance in an ambiguous, "greenfield" program environment.
Excellent communication skills with the confidence to propose new methodologies and voice feedback to leadership.
Prior experience in the construction industry or large-scale asset-intensive sectors is highly preferred (though broad industry experience is welcome).
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
