Risk Intelligence Manager

Job description

At Signifyd , we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! Job Title: Risk Intelligence Manager Department: Risk Intelligence The Risk Intelligence organization at Signifyd is responsible for proactively detecting and continuously monitoring fraud activities to mitigate immediate financial losses and protect portfolio health. This team partners closely with Data Science to improve machine learning (ML) model performance by providing continuous feedback on model outputs and identifying areas for enhancement using real-world fraud patterns and merchant feedback. We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue. We build trust through responsiveness and expertise, fostering stronger merchant relationships. We demonstrate the value of fraud prevention solutions in driving revenue growth and reducing losses. About the role: In this role, you will lead and develop a team of fraud analysts who investigate emerging threats, respond to fraud incidents, and translate behavioral insights into effective risk strategies. You will strengthen the people, tools, processes, and analytical standards that enable the team to succeed. This includes coaching analysts, improving investigative practices, establishing best practices, and helping team members develop the skills needed to solve increasingly complex risk problems. You will partner closely with Risk leadership and teams across Data Science, Customer Success, Product, and Engineering. Together, you will turn investigative findings into scalable improvements that reduce fraud losses, support intelligent risk-taking, and improve customer experiences. Success in this rol…