• 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.