at WEX
Full TimeAbout the Team/Role
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Apply data science domain knowledge to perform technical independent validation of machine learning and statistical models
Develop and enrich risk domain expertise by engaging with experts in Credit Risk, Fraud Risk, Financial Forecasting, and Operations to understand model design requirements
Assess code and implementation design for model development and deployment
Design creative testing and automated scripts to assess model robustness on large volumes of data and a variety of conditions
Keep abreast with emerging best practices in risk modeling, machine learning, product development, and strategy to apply and improve processes
Synthesize findings into actionable insights and articulate them both in narrative documentation and verbal presentations to senior leadership
Proactively identify and communicate challenges, opportunities, and risks associated with models and projects
Master’s or Ph.D. degree in a quantitative field such as Data Science, Mathematics, Computer Science, Statistics, or other technical field
2+ years of professional or research experience as a data scientist, model developer, model validator, statistician, or applied scientist.
Understanding of inner-workings of statistical and machine learning algorithms and their strengths and weaknesses.
Excellent analytical problem-solving and critical thinking skills with attention to detail.
Proficiency with SQL to extract and transform large datasets.
Proficiency of scripting languages such as Python or R and experience with common data science libraries such as scikit-learn, lightgbm, pandas, numpy etc.
Strong written and oral communication skills with an ability to relate complex analytics findings to business outcomes
Solutions oriented and proactive to solve problems collaboratively both in a team of technical and non-technical colleagues and independently in a self-starting manner.
Prior model validation or model development experience in risk models or in a fintech or financial services company
Understanding of model risk regulatory requirements (SR 11-7, OCC 2011-12) and typical governance framework of lines of defense
Experiences leveraging cloud platforms to develop and serve models, such as AWS
Prior experience with Sagemaker, Dataiku, Snowpark/Snowflake, Git, or other similar platform tools
Practitioner experience in an end–to-end ML lifecycle, such as git version control, data acquisition, CI/CD integration, parallel model runs, and model serving
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. 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. For more information, check out the "About Us" section.Pay Range: $113,000.00 - $150,000.00Yearly based
Global Headquarters
