- Salary and audit position will be commensurate with candidate's qualifications and experience. Posted salary is minimum salary available for entry level position. Candidates of all experience levels are encouraged to apply and be considered.
- Position will be primarily devoted to fraud detection using data analytics; however, the auditor may also support financial and compliance audits when needed.
POSITION: FRAUD ANALYST-AUDIT SPECIALIST
REQUIRED QUALIFICATIONS FOR APPOINTMENT:
- Requires a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field.
- Ability to analyze large, complex datasets to identify anomalies, irregular patterns, and high-risk activities.
- Build, optimize, and maintain fraud detection rules, algorithms, and automated workflows.
- Requires significant project management skills, an independent work ethic, and a high level of personal self-motivation and personal character of the highest ethical standard.
- Ability to understand data elements and programs requirements to develop data queries designed to identify potential fraud or noncompliance.
- Ability to work and communicate effectively both independently and as part of a team.
- Proficient in following data security policies and procedures.
EDUCATION AND EXPERIENCE:
- Bachelor's degree in related field.
- Experience in identifying potential fraud using data analytics.
- Highly proficient in SQL or other applications relating to fraud detection.
- Excellent oral and written communication skills.
- Excellent technical, analytical and computer skills.
The OAG performs audits in accordance with Generally Accepted Auditing Standards and Government Auditing Standards. Inherent in all audit engagements performed under these standards is the consideration of fraud risks and the performance of audit procedures to evaluate the likelihood and/or occurrence of fraud and to report on it when required under the standards. Examples of subject areas where data analytics could be further employed in the fraud evaluation and detection area by the office include Medicaid claiming, federal benefit issuance, federal program eligibility, procurement, purchase cards, etc.Benefits
For information regarding the benefits available to State of Rhode Island employees, please visit the Office of Employee Benefits' website at http://www.employeebenefits.ri.gov/.
Also, be advised that a new provision in RI General Law 35-6-1 was enacted requiring direct deposit for all employees. Specific to new hires, the law requires that all employees hired after September 30, 2014 participate in direct deposit. Accordingly, any employee hired after this date will be required to participate in the direct deposit system. At the time the employee is hired, the employee shall identify a financial institution that will serve as a personal depository agency for the employee.
Skills Required
- Bachelor's degree in a related field
- Strong background in data analytics and statistics
- Experience with financial or transactional data
- Experience identifying potential fraud using data analytics
- High proficiency in SQL or other fraud detection applications
- Ability to analyze large, complex datasets to identify anomalies, irregular patterns, and high-risk activities
- Ability to build, optimize, and maintain fraud detection rules, algorithms, and automated workflows
- Ability to develop data queries to identify potential fraud or noncompliance
- Significant project management skills
- Ability to work independently and as part of a team
- Excellent oral and written communication skills
- Excellent technical, analytical, and computer skills
- Proficiency in following data security policies and procedures
- High ethical standards and personal character
What We Do
The State of Rhode Island is the official government entity responsible for the administration, governance, and delivery of public services to the citizens and residents of the state of Rhode Island.






