Credit One Bank Careers

Assistant Vice President, Risk Modeling in Las Vegas, NV at Credit One Bank

Date Posted: 8/17/2018

Job Snapshot

Job Description

This position is a part of the Risk Management department but supports the entire bank. Responsible for leading a team of statistical modeling professionals who are tasked with developing models and using analytical optimization techniques that support the entire organization including underwriting, response, fraud, collection, credit line and digital modeling as well as marketing.

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.

Summary of Essential Job Functions:

  • Interact with senior management and department leaders across the company.
  • Ensure the work and projects done by the modeling team translate to bottom line impact.
  • Manage complex predictive analyses and 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

Position Requirements: 

  • 5+ years of credit card industry experience, or work in a quantitative field or industry.
  • 3+ years’ experience with one of the following programming languages: SQL, SAS, R or Python.          
  • 4-year degree in a quantitative field such as Finance, Economics, Statistics or Mathematics.
  • Advanced degree in the quantitative field is required.
  • Advanced and proficient knowledge of Microsoft Office (Excel, Word, PowerPoint and Visio).
  • Previous experience in developing statistical models (financial industry preferred).
  • Experience working with large data sets and writing queries.
  • Previous experience in developing statistical models (financial industry preferred).
  • Experience managing and mentoring analysts with strong technical backgrounds.
  • 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 ability to thrive in a fast-paced, rapidly changing and highly complex environment.
  • Demonstrated strong analytical, conceptual and quantitative problem-solving skills.
  • Strong project management skills.

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to sit.  However, the employee may choose to stand and move within cubicle area.  The employee is frequently required to use hands to finger, handle, feel, talk and hear; reach with hands and arms.  Must possess the ability to effectively hear and communicate.  The employee is occasionally required to stand and walk.  The employee must occasionally lift and/or move up to 2 pounds.  Specific vision abilities required by this job include close vision, peripheral vision, depth perception and ability to adjust focus. 

Based on the Fair Labor Standards Act (FLSA), management has analyzed this position and determined it to be exempt.



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