Sr. Data Scientist at WEX

Maine, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

165400.0

Posted On

16 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Credit Risk Management, SQL, Python, R, Statistical Modeling, MLOps, Data Extraction, Model Deployment, Supervised Learning, Unsupervised Learning, Behavioral Analytics, Communication Skills, Problem Solving, Mentoring

Industry

Software Development

Description

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. About the Team/Role 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. How you'll make an impact 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 team best 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: 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. How you will stand out: 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 Key Words Data Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Collections, Transaction Monitoring, MLOps, Behavioral Analytics 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: $140,000.00 - $165,400.00 WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments. With over 6,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses. We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry. Offering comprehensive and market competitive benefits, our offerings are designed to support your personal and professional well-being. If you’re looking for a growing career - come be part of WEX today. To learn more about our employee benefits, please click here. WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status. WEX promotes a drug-free workplace. Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation as a result of your disability at any point in the job application process, please submit your request through our Reasonable Accommodation Request Form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Responsibilities

Develop and deploy scalable machine learning and statistical models to measure and monitor credit and fraud risk. Partner with stakeholders to translate business requirements into data-driven solutions and mentor junior data scientists.