How you'll make an impact- 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
How you'll engage: - Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
- Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
- Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
- Dynamic Collaboration: Drive continual improvement of our teambest practices and processes to power collaboration
- Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
- Curiosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.
Experience You'll Bring:- 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
How you will stand out:- Prior experience building machine learning risk models in payment processing
space- 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
Key WordsData Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Fraud, Finance, Collections, Optimization 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: $120,900.00 - $136,800.00
