Offer summary

Qualifications:

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field., Minimum of 3 years of experience in SAS Fraud Analytics., Strong analytical skills to identify patterns in complex data sets., Excellent communication skills for collaboration and presentation..

Key responsabilities:

Conduct data analysis using SAS software to identify fraudulent activity.

Investigate and report on potential fraud cases by reviewing transactions and customer behavior.

Collaborate with teams to develop and implement fraud prevention strategies.

Monitor fraud-related KPIs and provide regular reporting on trends to stakeholders.

Job description

Our client is looking for a skilled SAS Fraud Analyst role for a 6-month contract opportunity with complete Remote work schedule. This position offers a competitive hourly pay rate, and candidates must have the legal right to work in the US without sponsorship. Interested? Details below:

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.

SAS Fraud Analyst 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

SAS Fraud Analyst 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.

Required profile