Senior Data Scientist

🕒 May 16

🇺🇸 United States – Remote

💵 $140k - $165.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Transport • Finance • Fintech

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement