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WEX
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August 8, 2026
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Fraud / Credit Data Scientist, Risk Solutions

United States
Full-time
Remote
$121K/yr - $137K/yr
Entry, Mid Level
WEX Inc is a fast-growing company focused on optimizing risk solutions and models. They are seeking a Fraud / Credit Data Scientist to employ data science methodologies to develop solutions that inform decision-making and manage credit, collections, and fraud risk throughout the client’s life-cycle.
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Responsibilities

  • Learn from stakeholders and leaders on how to connect a business problem to data-driven solutions to measure and monitor risk across the firm’s products and services
  • Leverage a broad spectrum of advanced statistical and machine learning methods and technologies to design flexible, scalable, and automated modeling solutions
  • Develop code and automated processes to combine and transform large volumes of data from disparate sources, to extract informative patterns
  • Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes
  • Synthesize findings into actionable insights and articulate them to the appropriate stakeholders
  • Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product

Qualification

Required

  • 1 to 3 years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/ financial services industry
  • Excellent analytical, creative problem-solving, and critical thinking skills, with the ability to tackle complex challenges and deliver innovative solutions
  • Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science
  • Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information
  • Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy etc
  • Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes
  • Adaptable and comfortable working collaboratively and independently in a self-starting manner
  • Evidence of creative problem solving, critical thinking and a continual learning mindset

Preferred

  • Prior experience building machine learning risk models in payment processing
  • Knowledge of data attributes and coverage of risk-factors for credit, fraud or other risk domains
  • Experience using cloud environments to develop advanced models, such as AWS Sagemaker
  • Experience with end–to-end machine learning systems and MLOps framework

Benefit

  • Health, dental and vision insurances
  • Retirement savings plan
  • Paid time off
  • Health savings account
  • Flexible spending accounts
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.
WEX is a financial technology service provider for fleet, travel and healthcare industries.
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Founded in 1983
Portland, Maine, USA
5001-10000 employees
http://www.wexinc.com