Skills this job asks for
Machine learningLeadershipCustomer success
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Where you can work from
United States only
Based on the listing's location: Remote (USA).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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.
Responsibilities:
• Hire, coach, and performance-manage a team of fraud analysts, closing skill gaps and serving as the escalation resource for complex investigations and emerging attacks.
• Own and improve the standards, playbooks, and tools for incident response, case review, merchant onboarding, decision transparency, and rule design where historical data is limited.
• Turn investigative findings into clear recommendations for the teams responsible for business and customer outcomes, and represent Risk Intelligence in cross-functional initiatives.
• Partner with business-unit leaders, Data Science, Customer Success, Product, and Engineering to close capability gaps and turn fraud behaviors into durable signals, features, and model improvements.
• Support customer conversations as a fraud subject-matter expert, explaining risk decisions and sharing effective practices. Coach analysts to communicate risk insights clearly and build
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