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Senior Fraud Credit Risk Analyst

Location Las Vegas, NV
Salary $65,000-$85,000
Bonus 5%
Sponsorship Yes
Relocation Yes
Job Category Risk
Yrs Experience 3
Job ID 1116

Job Description

Summary of Essential Job Functions Responsibilities:

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


Position 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 & SQL or a similar programming language is required.
  • Statistical modeling exposure including logistic regression, CHAID/CART analysis, & other general linear models.
  • Machine learning algorithms.
  • Strong critical thinking, problem-solving, analytical & quantitative skills.
  • Ability to drive & influence business decisions based on metrics & 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 & credit reporting.
  • Experience with credit cards or deposit accounts identifying & preventing transaction, identity & payment fraud & /or experience in developing &/or using fraud risk models algorithms or scorecards.
  • Works well within a collaborative team environment.
  • Excellent verbal & written communications skills.
 

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