DTS is looking for Fraud Detection Analyst for our direct client position based in Charlotte, NC

The Opportunity

As an Analyst in Fraud Detection Analytics , you’ll be responsible for the development of analytical solutions that allow us to do things like detect fraudulent activity, prevent bank losses, and improve the customer experience through statistical analysis of data; developing fraud rules to alert on risky behavior; creating dashboards to monitor abnormal behavior.

The Work Itself

• Use large transactional and behavioral data sets to conduct business analysis through SQL, Python or R to find patterns of fraudulent behavior.
• From analysis on fraud patterns, develop fraud rules and strategies to alert on risky behavior.
• Create proposals for fraud rule changes and present to partner teams for approval that will be worked by fraud operations to review for fraud.
• Design, build and monitor dashboards to monitor daily behavior for abnormalities or elevated activity then research behavior to determine if risk is present.
• Work quickly to triage fraud attacks and high dollar loss events by performing detection logic to prevent further activity.

The Skills You Bring

• 1 years of demonstrated experience turning business questions into insights through analysis of large data sets.
• Advanced SQL, and Excel skills required.
• Python, SAS and R skills preferred.
• Proficiency in various database environments, such as Snowflake, Hadoop, Oracle or AWS and proven experience to extract data.
• Degree in Data Science, Analytics, Computer Science, Economics, Statistics, Mathematics, Finance, or similar field of study required (Master's degree preferred).
• Preferred data visualization skills through Power BI or Tableau.
• Preferred knowledge of fraud, banking transactions and/or financial services operations.

Contact:

Sagar Sahota

Digital Technology Solutions