ThreatAnalyst

## Accountabilities In this role, you will act as both a fraud analytics expert and a trusted advisor to financial institutions, helping them maximize the effectiveness of behavioral biometrics solutions while strengthening their fraud prevention strategies. You will combine hands-on data analysis with customer engagement and cross-functional collaboration to address real-world cyber threats. Serve as a subject matter expert supporting customers in optimizing fraud detection and prevention strategies using behavioral analytics tools. Build and maintain strong relationships with fraud operations teams, investigators, and executive stakeholders across financial institutions. Conduct advanced data analysis to evaluate fraud trends, detection performance, and system effectiveness using quantitative methods. Collaborate with internal data science and engineering teams to improve detection models and develop responses to emerging threats. Design, deploy, and fine-tune fraud detection rules to mitigate active fraud attacks and reduce customer friction. Provide data-driven reporting, insights, and performance evaluations for pilot programs and proof-of-value initiatives. Act as the voice of the customer by sharing insights and field intelligence to influence product strategy and roadmap decisions. Support sales and customer success teams by delivering technical expertise during pre-sales and onboarding processes. Research and monitor evolving fraud typologies, including account takeover, scams, and identity manipulation techniques. Requirements The ideal candidate has strong analytical expertise combined with hands-on experience in fraud detection, data science, or threat analysis within financial services or security-focused environments. You are confident working with data, presenting insights to diverse audiences, and collaborating across technical and business teams. 3+ years of experience in threat analysis, fraud analytics, data analysis, or a related field within fin