• Investigate: Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights, making clear recommendations on how our customers can use your findings to build trust and mitigate risks. • Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns and tune rules. • Produce executive-level reports and own the end-to-end delivery of your recommendations by writing rules into the ThreatMetrix® decision engine. • Consulting mindset: Apply effective questioning skills to quickly understand the business and fraud requirements of our customers, no matter their industry. • Share best practices with fraud managers, risk analysts and project managers for combating persistent and emerging security threats. • Customer focus: Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chat. • Presentation: Use your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences with non-technical backgrounds • Learn: Never stop developing your extensive knowledge of cybercrime and become a true SME – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc. • Support: Continually disseminate your fraud expertise across the Data Science & Analytics team to support the growth of the team as a whole • Innovate: Propose and support research that deepens our understanding of the most complex fraud risks. Stay ahead of the industry by continuously thinking of new ways to apply our tools and solutions to customer problems such as romance scams and unwitting money mules. Inspire the team to think outside the box. • Collaborate: Collaborate with ThreatMetrix teams including Products, Engineering, Sales and other Professional Services colleagues to continually redefine best practices.

• architect, optimize, and sustain the data infrastructure behind our global learning ecosystem • bridge IT, HR, and Learning Operations while ensuring seamless system performance and an exceptional end-user experience • ensure the accuracy and integrity of people data across systems • manage complex API integrations • bring automation and efficiency to LMS workflows that support employees across multiple business lines and locations • develop dashboards and reporting using Power BI, SQL, or LMS analytics tools • validate and debug SCORM/xAPI/Tin Can course packages across devices and browsers • provide Tier 2/Tier 3 technical support for LMS-related issues requiring advanced troubleshooting

• Manage and oversee the migration, structuring, and optimization of supply chain data • Design Smartsheet solutions (sheets, reports, dashboards) for data management • Implement data analytical solutions to drive actionable outcomes • Drive process and data improvements

• Exploring our datasets to find new insights about American criminal justice systems • Contextualizing and communicating key findings to internal and external stakeholders • Collaborating with our State Engagement and Implementation Engineering teams to design and execute on targeted roadmaps that drive impact in the states where we work • Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software • Analyzing trends and changes in areas related to our own work to understand how our products function