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Staff JavaScript Developer (Web SDK) - Fraud Prevention & Risk Analytics

oscilar • United Kingdom
Full Remote
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Lead the design, development, and optimization of a high-performance Web SDK for fraud detection, device fingerprinting, and behavior analytics. Requires deep expertise in JavaScript/TypeScript, browser APIs, and SDK development with 8+ years of web development experience. Focus on security, scalability, and cross-browser compatibility in a mission-driven fintech environment.

Key Responsibilities
Lead Web SDK development for fraud detection, device fingerprinting, and behavior analytics
Design and implement algorithms for device fingerprinting and behavior-based insights
Build and maintain CI/CD pipelines with automated cross-browser testing
Optimize SDK performance and ensure cross-browser compatibility
Collaborate with cross-functional teams to meet high-quality standards
Ensure data privacy and security in SDK design and implementation
Technical Skills Required
JavaScript (ES6+) TypeScript Web SDK Development
Benefits & Perks
Competitive salary and equity packages
Remote-first culture (work from anywhere)
100% employer-covered comprehensive health, dental, and vision insurance (US)
Unlimited PTO policy
AI-first company with strong engineering and product focus
Family-friendly environment with team events and offsites
Unparalleled learning and professional development opportunities
Nice to Have
Experience with AI-driven analytics or fraud prevention technologies
Familiarity with JavaScript SDKs and interaction data processing
Prior experience in high-scale, distributed environments

Job Description

We are seeking a highly skilled Staff JavaScript Developer to design, build, and optimize our Web SDK. This SDK will be at the core of our solutions for device fingerprinting, identity verification, and behavior analytics, enabling our customers to stay ahead in the ever-evolving fraud prevention landscape. This is not a UI or App development role, this is building SDKs for detecting fraud by analyzing device and behavioral properties. This requires deep understanding of the platform internals.

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