Threat Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Threat Analyst based in the United States. This role sits at the forefront of digital fraud detection, combining advanced analytics, behavioral insights, and customer-facing advisory work to help financial institutions combat increasingly sophisticated cyber threats. You will work directly with banks and enterprise clients to analyze fraud patterns, improve detection strategies, and optimize the use of behavioral biometrics solutions. The position blends deep technical analysis with strategic consulting, requiring the ability to translate complex data into actionable fraud prevention decisions. You will collaborate closely with data science, product, and sales teams to refine models, deploy defensive rules, and strengthen platform performance. A key part of the role involves advising stakeholders ranging from fraud investigators to senior executives on emerging threats and best practices. This is a high-impact, remote-first role within a global environment where every day contributes to protecting real users from digital fraud. 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 financial services or cybersecurity. Bachelor’s or graduate degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Strong experience working with financial institutions’ fraud operations, monitoring systems, or investigative teams. Proficiency in SQL at an intermediate to advanced level for data extraction and analysis. Experience with Python and/or R is highly desirable for statistical and analytical modeling. Solid understanding of statistical modeling techniques and data-driven decision-making. Excellent communication and presentation skills, with experience engaging both technical teams and senior stakeholders. Strong business acumen with the ability to build trusted customer relationships and act in a consultative capacity. Self-starter mindset with the ability to work independently in a fast-paced, remote environment. Nice to have: experience with behavioral biometrics, machine learning applications, or large-scale fraud detection systems. Benefits Competitive salary range: $140,000 – $170,000 per year Flexible remote-first work arrangement across the United States Flexible paid time off policy Paid sick leave, maternity/paternity leave, and additional family-related leave options 401(k) retirement plan with up to 4% company match Comprehensive healthcare coverage tailored to employee needs Life insurance coverage Wellness programs, employee assistance program (EAP), and health advocacy services Monthly reimbursements for home internet and mobile phone expenses Opportunities for travel across North America for client engagement and workshops Strong focus on professional development and cross-functional learning How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1