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SalaryAbout the Team/Role:
This role contributes directly to the organization’s mission of developing and maintaining robust risk frameworks supporting WEX’s revenue, credit loss, receivables management inclusive of cash application, and collections objectives. We are looking for a collaborative player who is able to help optimize our receivables management and collections strategies. Working closely with collections and cash application leadership, the workforce manager, and business process analyst, you will be responsible for the creation of data analytics that result in the implementation of collections, charge-off mitigation and recovery strategies and driving automation.
How you'll make an impact
- Conduct in-depth analysis of financial and Receivables Risk data, generating reports and actionable insights to support strategic decision-making.
- Connect the dots between business problems and data to produce innovative, data-driven insights.
- Leverage analytics to drive operational improvements that lead to productivity enhancements, a better internal and external customer experience in Collections and Recovery as well as Cash Application.
- Produce robust KPI reporting and identify trends, patterns and anomalies that will drive decisioning
- Design and implement data driven strategies that transform processes to enable efficiency and scale.
- Develop thorough analysis and understanding, deliver insights to the organization that optimize revenue and risk.
- Collaborate with cross-functional data science teams to build machine learning models to solve Risk problems.
In the first 100 days, the employee will:
- Build relationships with internal stakeholders
- Understand WEX’s Customers and Products
- Understand WEX’s Collections and Recovery Systems and Data Architecture
- Create a data analytical approach to measuring collections outcomes and being able to support champion-challenger testing of different operational strategies
The employee must:
- Possess data creativity - if desired variables are unavailable, identifying proxies as business substitutes
- Excel at detailed execution
- Be highly collaborative and engaging, willing to drive execution
- Deliver results on-time in a fast-paced, complex environment
- Have a mindset of extreme ownership
Experience you'll bring
- BS or MS degree in relevant area (Industrial Engineering, Data Analytics, Risk Management)
- Operations and Industrial Engineering training / certification highly desirable
- Data Management Skills (SQL, Data Lake, Tableau, SnowFlake, Python, etc)
- Proven technical capability in Data Management (SQL, Relational Databases, Data Warehousing
- Results driven, action oriented and self-motivated
- Superior critical thinking, problem solving and decision-making skills
- Collaborative style
- Passionate about data and data-driven decisions
- Ability to present data and concept effectively in written, presentation and verbal formats
- Highly motivated, proactive and innovative
- Proven track record of delivering solutions with significant business impact
- Thrives in a fast paced, goal oriented, dynamic organization with time sensitive deadlines
- Must successfully pass a background investigation.
Preferred Competencies
- Experience using Robotics Process Automation solutions
- Experience with Artificial Intelligence and Machine Learning Solutions.
- Experience in a Global Company focusing on Technology, Payments Technology or Software Development is desirable.
- Data Science Techniques
- 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
- Excellent communication skills including written, verbal and meeting facilitation/ presentations
- Ability to interact effectively and gain credibility with internal associates and stakeholders at all levels
