Fraud / Credit Data Scientist, Risk Solutions

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.

What you'll do:

• 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

What they're looking for:

• 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
• 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

Benefits:

• 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.