Risk Intelligence Manager
- Compensation
- Not disclosed
- Location
- United States (Remote);
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- 3+ years of direct people management, including coaching and performance management, with a track record of building an effective team.
- 5+ years in ecommerce, payments, fraud prevention, or risk management, including fraud investigations and emerging-threat response.
- Advanced analytical judgment, including balancing fraud losses, customer experience, and intelligent risk-taking.
- Experience building operational standards, playbooks, and workflows, and the discipline to improve how a team works.
- Effective communication skills presenting to a variety of technical, business, and customer audiences
- Solid cross-functional experience partnering with data science, customer success, product, or engineering.
Full 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 role requires strong people leadership, analytical judgment, operational discipline, and the ability to communicate complex risk issues clearly to technical, business, and customer audiences.
At Signifyd, you will be part of a purpose-driven company dedicated to creating a dynamic and versatile work environment. Risk Intelligence is an integral part of our growing organization that values neighborly collaboration, passion, and inventiveness.