Job Posting for Fraud Detection Analyst -Charlotte, NC/Detroit, MI at Digital Technology Solutions
Job Details
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.
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