Senior Fraud Data Scientist

🕒 Junho 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $165.400 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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WEX

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1983

🚗 Transporte

💸 Finanças

💳 Fintech

💰 $310.000.000 Post-IPO Debt em 2020-06

Transport • Finance • Fintech

A WEX é uma plataforma global de comércio especializada em diversas soluções empresariais para enfrentar desafios operacionais. A empresa oferece serviços de gestão e mobilidade de frotas por meio de seus sistemas de cartões de combustível, com soluções completas de gestão de frotas e analytics. Além disso, foca em soluções de pagamentos para empresas que simplificam processos em diferentes setores, aumentando a eficiência e a segurança. A WEX também atua na administração de benefícios aos colaboradores, ajudando as organizações a gerenciar com eficácia contas de saúde e de reembolso. Seu portfólio diversificado atende a inúmeros segmentos, com ênfase em inovação, sustentabilidade e soluções eficazes para o crescimento dos negócios.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement • quarterly or annual bonus based on role and applicable plan