Credit One Bank Careers

Fraud Risk Analyst III in Las Vegas, NV at Credit One Bank

Date Posted: 9/5/2018

Job Snapshot

Job Description

One of America's leading issuers of VISA® and MasterCard® credit cards located in Las Vegas Nevada is seeking highly qualified risk professionals. We provide credit cards to individuals who have been historically overlooked by other banks because of their less than perfect credit. With millions of people carrying our credit card, we pride ourselves on excellent customer service and an array of credit card products with innovative features.

This position is a part of the Risk Management department. You'll work with the Fraud Risk team and internal business partners to develop, implement and evaluate fraud risk management strategies that reduce fraud losses, improve profit, increase efficiency and improve the customer experience.

 Responsibilities:

  • Develop, implement and evaluate fraud risk strategies.
  • Analyze and present data in easy-to-understand visualizations and recommendations appropriate to the type of activity under review.
  • Perform analysis and define industry benchmarks.
  • Applies industry best practices and provides standards for solution, execution and delivery approach.
  • Utilizes analytical and quantitative skills by using data and metrics to test theories, confirm assumptions, generate insights/recommendations and measure success.
  • Ability to manage multiple projects under tight deadlines.
  • Be responsible for scorecard validations and tracking.
  • Provides Analytics and insights to organizational leaders in response to their business questions through the use of data, tools, technologies and discovery solutions.
  • Partner and collaborate with Operations, Compliance and IT teams.

Job Requirements

Requirements:

  • Bachelor's degree in Economics, Decision Sciences, Mathematics, Statistics, Computer Science or a related quantitative field. (advanced degree preferred)
  • 4+ years work experience in a similar role in a professional corporate environment
  • Ability to transform big data into recommended actions to prevent fraud loss.
  • Proficiency in SAS, SAS EMiner and SQL or a similar programming language is required.
  • Statistical modeling exposure including logistic regression, CHAID/CART analysis, and other general linear models.
  • Machine learning algorithms.
  • Strong critical thinking, problem-solving, analytical and quantitative skills.
  • Ability to drive and influence business decisions based on metrics and data.
  • Demonstrated ability to simplify complex topics for broad audiences. 
  • Knowledge of fraud, credit risk analysis along with an understanding of profitable drivers, financial analysis and credit reporting.
  • Experience in identifying and preventing transaction, identity and payment fraud and /or experience in developing and/or using fraud risk models algorithms or scorecards.
  • Works well within a collaborative team environment.
  • Excellent verbal and written communications skills.

 

Preferred (Not Required):

  • Advanced degree.
  • Experience data mining large databases.

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