Fraud Data Analyst

Position Purpose

The Data Analyst are responsible for collecting, interpreting, and analyzing data from multiple sources using statistical techniques and being able to turn the results of this work into actionable recommendations that the Payments Fraud team can use to make informed risk decisions. They must be able to present data insights and recommendations to multiple levels of leadership. They will need to acquire and automate data collection from multiple data sources as well as build out and maintain reporting dashboards.

Key Responsibilities

• 10% Collaborate with internal partners - Collaborate with internal partners such as IT, Technology, Legal, Business to provide Payments Fraud support for new enterprise initiatives
• 10% Enhance Operational Workflows - Enhance operational workflows via recommendation of process improvements and identification of automation opportunities
• 20% Improve Fraud Tools - Improve fraud tools through analysis, technical expertise and presentations to internal and external partners
• 40% Maintain and improve on Payments Fraud decisioning logic - Maintain and improve on Payments Fraud decisioning logic - including designing and implementing rules and rulesets, building out reporting to understand efficacy of rules and working with Fraud Analysts to monitor and understand ongoing fraud trends
• 20% Perform complex data investigations - Perform complex data investigations and analyses to identify current Fraud mitigation gaps and design and implement countermeasures

Direct Manager/Direct Reports

• This Position typically reports to Payments Fraud Manager
• This Position has 0 Direct Reports

Travel Requirements

• Typically requires overnight travel less than 10% of the time.

Physical Requirements

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Ability to communicate to technical and non-technical audiences
• Strong knowledge of and experience with reporting packages (Business Objects, Tableau, etc.), databases (SQL etc.), programming (XML, ETL frameworks)

Preferred Qualifications

• 3+ years experience of work in data or analytical fields
• Experience in internet-based risk and fraud mitigation
• B.S or higher in Applied Mathematics, Economics, Computer Science, Statistics or a similar field
• Strong analytical mind-set with ability to detect trends and data anomalies
• Knowledge of statistics and experience using statistical packages for analyzing data sets (Excel, SPSS, SAS etc.)

Minimum Education

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education

• No additional education

Minimum Years Of Work Experience

• 3

Preferred Years Of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

• None

Competencies

• Decision Quality
• Collaborates
• Communicates Effectively
• Drives Results
• Strong analytical skills and problem-solving skills
• Detailed oriented with an ability to think logically and reasonably