Security Research
Transmit Security - Tel Aviv-Yafo, Gush Dan, Israel
Posted May 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Security Research Tel Aviv-Yafo, Gush Dan, Israel We offer the industry's only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Transmit Security is a top player in its field and is heading into an exciting year. In this role, you will take an integral part in researching, designing, and improving advanced fraud and abuse detection capabilities for a cutting-edge SaaS product. We are looking for a hands-on security researcher who combines an attacker mindset, fraud-domain curiosity, strong technical depth, and data analysis skills. You will investigate real-world fraud patterns, reproduce attacker techniques, analyze telemetry, enrich our data collection capabilities, discover new security signals, and work closely with product, data, and engineering teams to turn research insights into production-grade detection and prevention mechanisms. This role is especially relevant for researchers with experience in browser technologies, mobile-native applications, or both . You may work on desktop and mobile browsers, browser APIs, browser automation, client-side signals, native mobile applications, Android/iOS behavior, mobile security, emulators, device signals, and mobile automation. You will help expand our visibility into new signals and patterns that improve fraud detection, model performance, and customer protection. If you are a talented researcher who enjoys solving complex problems, working with messy real-world data, and building practical defenses against modern fraud and abuse, we want you to join
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