Fraud Prevention Analyst

September 17

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WEX

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Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000

💰 $310M Post-IPO Debt on 2020-06

Description

• The Fraud Analytics and Strategy team is responsible for Financial Crime detection and prevention at WEX. • Using advanced analytics and robust Risk Mitigation Framework, we develop strategies to protect our clients from Financial Crimes. • This role contributes directly to the organization’s mission of developing and maintaining robust risk frameworks supporting WEX’s revenue and fraud loss objectives. • We are looking for a collaborative player who has Identity and Access Management risk mitigation expertise. • Working closely with Fraud Investigators and Analytics teams, you will be responsible for the creation and implementation of IAM fraud mitigation strategies. • Leverage analytics and Risk Models to drive improvements in detection of identity theft and account takeover attack vectors. • Optimize Fraud Detection Systems to capture fraud and minimize customer disruptions. • Connect the dots between business problems and data to produce innovative, data-driven insights. • Design and implementation of data driven strategies that transform processes to enable efficiency and scale. • Partner with Data Scientists to build Machine Learning models to solve risk problems. • Apply Fraud Detection techniques in efficient and effective ways. • Through analysis and understanding, deliver insights to the organization that optimize revenue and risk. • Implement new fraud prevention and detection solutions and external data feeds to enhance fraud controls. • In the first 100 days, improve Capture Rate of Fraud by 3%, decrease False Positive Alerts by 3%, build relationships with internal stakeholders, and understand WEX Customers and Products.

Requirements

• BS or MS degree in relevant area (Industrial Engineering, Data Analytics, Risk Management) • Data Management Skills (SQL, Data Lake, Tableau, SnowFlake, Python, etc) • Operations and Industrial Engineering training / certification highly desirable • Proven technical capability in Data Management (SQL, Relational Databases, Data Warehousing Techniques, Data Mart Structure, Application Interfaces) • Data Science Techniques • Systems Management • Passionate about data • Experience with Artificial Intelligence and Machine Learning Solutions • Experience in IAM fraud mitigation and prevention • Experience in a Global Company focusing on Technology, Payments Technology or Software Development is desirable. • Experienced with effectively delivering transformational data projects • Proven track record of delivering solutions with significant business impact • Demonstrated analytical, problem solving, organization, and project management skills • Highly motivated, proactive and innovative • Experience working effectively in global complex organizations • Thrives in a fast paced, goal oriented, dynamic organization with time sensitive deadlines • Strong project management skills, including stakeholder timelines and meeting management skills • Develop and maintain a network of contacts and external partnerships to achieve key business and organizational objectives. • Thorough working knowledge of operations leading practices • Learn emerging technologies to support the organization's long-term strategic plan • Excellent communication skills including written, verbal and meeting facilitation/ presentations

Benefits

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