1001 - 5000 employees
Founded 2000
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 Secondary Market on 2021-07
October 14
1001 - 5000 employees
Founded 2000
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 Secondary Market on 2021-07
• We are seeking a detail-oriented and analytical Fraud Analyst III to join our team. • In this role, you will play a critical part in safeguarding our organization against fraudulent activities. • You will analyze patterns, identify vulnerabilities, and implement strategies to mitigate risks while ensuring compliance with healthcare regulations. • Monitor transactions and user behavior to identify suspicious activities and potential fraud schemes. • Conduct thorough analyses of data to uncover trends, patterns, and anomalies that indicate fraudulent behavior. • Prepare comprehensive reports detailing findings, patterns of fraud, and recommendations for prevention strategies. • Work closely with cross-functional teams, including Compliance, Legal, and IT, to develop and implement fraud prevention measures. • Ensure adherence to healthcare regulations and standards, maintaining compliance with HIPAA and other relevant laws. • Evaluate existing products, policies and procedures for vulnerabilities, recommending enhancements to mitigate risks. • Interview suspected fraudsters and their victims to provide objective threat analyses.
• Bachelor’s degree in Finance, Business, Criminal Justice, Computer Science, or a related field. • 3+ years of experience in fraud analysis, risk management, or a related area, preferably in the healthcare or technology sector. • 3-5 Years of Experience directly relevant to incident response and/or ad hoc research using SQL or Splunk. • 3-5 years of experience using SQL (including variant languages), and demonstrates the ability to interpret, create and modify sophisticated ad-hoc queries during the incident response process. • 1-3 years of experience using Splunk and demonstrate ability to manipulate queries in Splunk’s proprietary Search Processing Language (SPL). • 1-3 years of experience using AWS toolsets to perform ad hoc research. • 1-3 years of experience using PowerBI, Cognos, Splunk, and/or Apptrinsic/Gainsight for reporting. • Strong analytical skills with proficiency in data analysis tools and methodologies including use of the Mitre Att&ck framework for defining fraudster tactics, techniques and procedures. • Familiarity with business and healthcare regulations, compliance standards, and fraud detection techniques including those under the purview of HHS, CMS, FTC, SEC, HITRUST, NIST, and GDPR, including HIPAA, HITECH, and the NPI FINAL RULE. • Excellent communication skills, both verbal and written, with the ability to present complex information clearly. • Adept in investigative communication strategies for interactions with victims and fraudsters. • Detail-oriented with strong problem-solving skills and the ability to work independently.
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