| Required SAS Fraud Analyst at Remote, Remote, USA |
| Email: [email protected] |
| From: Pankaj, kpg99 [email protected] Reply to: [email protected] Hi, Hope you are doing well. Please find the job description below and let me know your interest. Position: SAS Fraud Analyst Location: Remote Duration: 6+ Months Mode of Interview: Phone and Video Job Description: We are seeking an experienced Fraud Analyst. The successful candidate will be responsible for identifying and analyzing patterns of fraudulent activity, developing, and implementing fraud prevention strategies, and reporting on fraud trends. Key Responsibilities: Conduct analysis of data using SAS software to identify fraudulent activity and patterns. Investigate and report on potential fraud cases, including reviewing transactions, customer behavior, and other relevant data sources. Collaborate with cross-functional teams to develop and implement fraud prevention strategies. Monitor fraud related KPIs and provide regular reporting on trends and patterns to key stakeholders. Identify new and emerging fraud risks and recommend proactive measures to mitigate these risks. Conduct ad-hoc analyses and data mining exercises to support fraud investigations and other business needs. Stay up to date on industry best practices and emerging trends related to fraud detection and prevention. Requirements: Bachelor's degree in a related field, such as Statistics, Mathematics, Computer Science, or a related discipline. Minimum of 3 years of experience in SAS Fraud Analytics Strong analytical skills and the ability to identify patterns and trends in complex data sets. Knowledge of fraud prevention tools and techniques. Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and present findings to key stakeholders. Strong attention to detail and the ability to prioritize and manage multiple projects simultaneously. Experience with SQL and other programming languages is a plus. Skill Required / Desired Amount of Experience Bachelor's degree in a related field, such as Statistics, Mathematics, Computer Science, or a related discipline. Highly desired Experience with SAS Fraud Analytics. Required 3 Years Strong analytical skills and the ability to identify patterns and trends in complex data sets. Highly desired Knowledge of fraud prevention tools and techniques. Highly desired Strong attention to detail and the ability to prioritize and manage multiple projects simultaneously. Highly desired Experience with SQL and other programming languages is a plus. Desired Ability to collaborate with cross-functional teams and present findings to key stakeholders. Highly desired Excellent communication and interpersonal skills. Highly desired Keywords: active directory |
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| Wed Aug 30 22:57:00 UTC 2023 |