UMass Med School

Under the general direction of the Associate Director, or designee, the Fraud Investigator II serves a crucial role in combating fraud, waste and abuse ("FWA") within the Medicaid program.. The Investigator II collaborates with the Associate Director on more complex case reviews as needed, in addition to performing activities related to data mining, data analysis and recoveries.. Conduct independent data mining and data analysis techniques utilizing claims data to detect aberrancies and outliers in claims and develop trends and patterns for potential cases.. 5-7 years of related experience in fraud examination, healthcare, business, finance or related field; with at least 2 years of experience conducting data mining in the healthcare insurance industry and claims related experience.. Prefer individual possessing any of the following certifications or licensure: CFE, CPA, RN/LPN, CPC, or CPMA.

fraud investigator

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Fraud Investigator II - Healthcare (REMOTE)</h5>



Minimum Salary

US-MA-Shrewsbury


Job Location

6 days ago(6/27/2024 1:44 PM)




Requisition Number

2024-46495



# of Openings

1



Posted Date

Day



Shift

Exempt


































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Overview


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<p><strong>GENERAL SUMMARY OF POSITION: </strong> </p><p>Under the general direction of the Associate Director, or designee, the Fraud Investigator II serves a crucial role in combating fraud, waste and abuse ("FWA") within the Medicaid program. Investigations involve extensive research to identify industry trends and patterns which target aberrant billing practices. The Investigator II collaborates with the Associate Director on more complex case reviews as needed, in addition to performing activities related to data mining, data analysis and recoveries. With increasing independence, the Investigator II is assigned to multiple provider types and serves as a senior investigator in the Unit., The Investigator II will coach other investigators on developing techniques to find provider schemes based on federal and state regulations that govern Medicaid.</p>









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Responsibilities


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<p><strong>MAJOR RESPONSIBILITIES:</strong> </p><ul> Consistently apply in-depth knowledge of federal and state regulations and healthcare industry standards. <li>Conduct independent data mining and data analysis techniques utilizing claims data to detect aberrancies and outliers in claims and develop trends and patterns for potential cases. </li> <li>Develop algorithms, queries, and reports to detect potential FWA activity. </li><li>Analyze member records and claims data to ensure compliance with applicable regulations, contracts and policy manuals. </li><li>Develop reports of investigative findings, compile case file documentation, calculate overpayments, and issue findings in accordance with agency policies and procedures. </li><li>Document work performed and audit results based on pre-determine standards and guidelines. </li><li>Communicate with providers routinely regarding issues including audit findings, recoveries and educational feedback. </li><li>Identify and recommend policy, procedure and system changes to enhance investigative outcomes and performance, based on findings. </li><li>Determine compliance with applicable Medicaid regulations by examining records </li><li>Assist investigator I staff with recognizing and identifying fraudulent patterns for increasingly complex cases. </li><li>Serve as a resource for departments to research and resolve integrity inquiries. </li><li>Update appropriate internal management staff regularly on progress of investigations and make recommendations for further initiatives such as new algorithms. </li><li>Create, maintain and manage cases within the tracking system to ensure information is accurate and timely. </li><li>Perform other duties as needed. </li></ul>









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Qualifications


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<p><strong>REQUIRED QUALIFICATIONS:</strong> </p><ul> <li>A Bachelors' degree in Business administration, finance, public health or related field; or equivalent years of experience. </li><li>5-7 years of related experience in fraud examination, healthcare, business, finance or related field; with at least 2 years of experience conducting data mining in the healthcare insurance industry and claims related experience. </li><li>Knowledge of coding, reimbursement and claims processing policies. </li><li>Knowledge of the principles and practices of medical auditing. </li><li>Strong analytical and qualitative skills as well as problem solving skills with the ability to look for root causes and implement workable solutions. </li><li>Knowledge of the law and regulations as it relates to fraud and fraud investigations. </li><li>Must have a track record of producing high quality work that demonstrates attention to detail. </li><li>Ability to multi-task, establish priorities and work independently to achieve objectives. </li><li>Ability to function effectively under pressure. </li><li>Proficient in Microsoft Office applications (Word, Excel, PowerPoint and Access) </li><li>Excellent Customer service skills with the ability to interact professionally and effectively with providers, third party payers, and staff from all departments. </li><li>Strong Interpersonal skills with the ability to work in a fast paced environment whether as a team member or an independent contributor. </li><li>Strong oral and written communication skills including internal and external presentations. </li></ul> <p><strong>PREFERRED QUALIFICATIONS:</strong> </p><ul> <li>Master's degree in Business Administration or Public Health. </li><li>Prefer individual possessing any of the following certifications or licensure: CFE, CPA, RN/LPN, CPC, or CPMA. </li> <li>Advanced Microsoft Excel software skills. </li><li>Knowledge of State and federal regulations as they apply to public assistance programs </li><li>Strong Decision making skills with the ability to investigate and weigh alternatives and select the appropriate course of action. </li><li>Creative thinking skills with the ability to ask the needed "bigger- picture" questions that lead to process and team improvements. </li> </ul>

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