[Remote] Fraud Sr. Data Scientist
Note: The job is a remote job and is open to candidates in USA. WEX Inc is a company focused on optimizing risk solutions and models within the Global Risk Solutions and Strategy group. They are seeking a Fraud Sr. Data Scientist to leverage data science methodologies to develop solutions for measuring and managing credit and fraud risk throughout the client’s life-cycle.
Responsibilities
- Partner with stakeholders to understand credit risk management requirements and translate them into data-driven solutions to measure and monitor credit risk across the firm’s products and services
- Proactively identify and communicate challenges, opportunities, and risks associated with end-to-end model development and deployment life-cycle to ensure timely completion of the entire product
- Leverage advanced machine learning, artificial intelligence, and statistical methods and technologies to design flexible, scalable, and automated risk modeling solutions
- Develop and review code and automated processes to extract credit risk patterns from large scale application and transaction data, behavioral patterns, and other risk indicators
- Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes
- Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX
Skills
- 4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on credit risk management in underwriting, behavioral surveillance, and loss prevention in the financial services industry
- Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science
- Strong knowledge of credit risk-drivers in small and medium sized businesses, public firms, and private firms, including data typically used in credit risk management from external credit bureaus and internal risk management processes
- Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information
- Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc
- Deep understanding of model deployment requirements for scalable solutions and real-time feature stores
- Deep expertise in statistical and machine learning techniques, including modeling, testing and inference, sampling methods, supervised and unsupervised learning
- 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 in credit risk management
- Prior experience mentoring experience of data scientists
- Prior roles responsible for building underwriting and behavioral models
- Knowledge of external intelligence sources, including third-party data providers e.g. LexisNexis, Socure, Dun and Bradstreet
- Experience using cloud environments to develop advanced models, such as AWS Sagemaker
- Experience with end–to-end machine learning systems and MLOps framework
Benefits
- Most sales positions are eligible for commission under the terms of an applicable plan.
- Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.
- WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.
- Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
Company Overview
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