Credit One Bank Careers

Senior Statistical Modeler in Las Vegas, NV at Credit One Bank

Date Posted: 8/6/2018

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 but supports the entire bank. Our modeling professionals are tasked with developing models and analytical optimization techniques that support the entire organization including underwriting, response, fraud, collection, credit line, digital modeling.


Supervise and participate in custom model developments for the bank; including logistic, linear, time-series regression, decision trees, etc. using SAS EGuide and EMiner. Ability to data mine large databases. Provide ad hoc analyses upon request. Potentially manage the work of other predictive modelers in addition to their own workload.



  • Performs complex analyses and/or modeling that maximizes profits and/or asset growth and minimizes credit and/or operating losses and other risk exposures.
  • Provides analytical support to ensure the company goals are met.
  • Anticipates issues based on knowledge of business trends and proposes direction and solutions.
  • Serves as an expert consultant to senior management on highly complex issues.
  • Researches the impacts of business decisions.
  • Manages the rollout of company-wide pilot programs developed as a result of programmed models.
  • Partners with technology groups to define business requirements.
  • Performs user acceptance testing and implementing complex changes.
  • Provides work direction to lower level analysts.
  • Performs other duties as assigned.

Job Requirements


  • 3+ years of relevant experience
  • 4 year degree in quantitative area such as accounting, business administration, finance, mathematics, economics or a minimum of 2 years of college-level business or statistical classes and equivalent industry experience.
  • 2-4 years advanced use of at least one of the following: Microsoft Access, SQL Server, Oracle, or SAS.
  • Must have well developed organizational and prioritization skills, with the ability to manage multiple and sometimes competing priorities.
  • Position requires excellent written and oral communication skills, and the flexibility, and ability to thrive in a fast-paced, rapidly changing, highly complex environment.
  • Demonstrated strong analytical, conceptual and quantitative problem-solving skills.
  • Sound project management skills.
  • Advance knowledge of Microsoft Office (Excel, Word, PowerPoint, Visio).



Preferred (Not Required):

  • Advanced degree
  • Machine learning algorithms
  • 4+ years risk management or equivalent industry experience preferred. Knowledge of financial analysis, credit reporting and profitability drivers.



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