Overview: As a Fraud Risk Analyst, you will play a crucial role in mitigating fraudulent activities within our organization. You will be responsible for analyzing a backlog of 20,000+ cases, identifying false positives, and determining the root causes of fraudulent occurrences. Your expertise in SAS and your analytical skills will be instrumental in effectively managing and resolving these cases.
Note: This position requires a high level of attention to detail, analytical expertise, and the ability to work efficiently through a high volume of data. A successful candidate will play a critical role in safeguarding the organization against fraudulent activities and protecting the interests of our stakeholders.
Responsibilities:
-Case Analysis: Review and analyze the backlog of 20,000+ cases to identify potential instances of fraud. Utilize SAS and other analytical tools to investigate suspicious activities.
-False Positive Identification: Assess each case meticulously to differentiate genuine instances of fraud from false positives. Develop and implement strategies to effectively manage and minimize false positives.
-Root Cause Analysis: Investigate the root causes of fraudulent activities identified within the cases. Identify patterns, trends, and commonalities among fraudulent occurrences to enhance fraud detection methods.
-Data Management: Manage large volumes of data efficiently using SAS and other relevant tools. Ensure data integrity and accuracy throughout the analysis process.
-Collaboration: Collaborate with cross-functional teams including risk management, fraud prevention, and data analytics teams to share insights, findings, and best practices. Work together to develop strategies for fraud prevention and mitigation.
-Reporting: Prepare comprehensive reports detailing findings, trends, and recommendations for fraud prevention and mitigation strategies. Present findings to stakeholders and senior management as necessary.
-Process Improvement: Continuously evaluate and refine fraud detection processes and methodologies. Identify opportunities for process improvements and automation to enhance efficiency and effectiveness.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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https://insightglobal.com/workforce-privacy-policy/ .
-Bachelor's degree in a relevant field such as statistics, mathematics, computer science, or a related discipline.
-Previous experience as a STOC Analyst, in a dedicated Fraud Department, or similar.
-Proficiency in SAS (Statistical Analysis System) and other data analysis tools.
-Proven experience in fraud detection, risk analysis, or related field.
-Excellent analytical and problem-solving skills with a keen attention to detail.
-Ability to manage and analyze large volumes of data efficiently.
-Solid understanding of fraud prevention techniques, methodologies, and best practices.
-Certified Fraud Examiner (CFE) certification
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.