Sr Data Scientist

Wex Bank • Saint Louis, MO

306d • $135,000 - $180,000

About The Position

The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX's strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit and fraud risk to proactively manage the risk throughout the client's life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making.

Requirements

• 3+ years of professional experience in data science, machine learning, or artificial intelligence in the fintech/ financial services industry.
• 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.
• Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc.
• Understanding of model deployment requirements for scalable solutions.
• 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.

Nice To Haves

• Prior experience building risk and finance models in payment processing or financial services.
• Extensive knowledge of data attributes and coverage of risk-factors in external bureau data for small business.
• Experience using cloud environments to develop advanced models, such as AWS Sagemaker.
• Experience with end-to-end machine learning systems and MLOps framework.

Responsibilities

• Partner with stakeholders to understand their needs and translate them into data-driven solutions to measure and monitor risk across the firm's products and services.
• Leverage advanced machine learning, Artificial Intelligence, and statistical methods and technologies to design flexible, scalable, and automated modeling solutions.
• Develop code and automated processes to extract informative patterns from large volumes of data.
• 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.
• Mentor and support junior data scientists, sharing knowledge and best practices to elevate the data science practice at WEX.
• Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product.

Benefits

• Health, dental and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree