Job Description

Job Title: Senior Fraud Detection/Browser Fingerprinting EngineerJob Type: Full-TimeAbout Company:Paysecure is a versatile payments processing company catering to all industries. Our platform is built to handle transactions seamlessly, securely, and at scaleno matter the sector. Whether you're in retail, logistics, fintech, healthcare, or any other vertical, our solutions are tailored to deliver reliable and efficient payment infrastructure.Trust us for seamless payment processing.With a strong focus on innovation, compliance, and customer-centricity, we empower businesses to accept and manage payments effortlessly across digital and physical channels. Join us in shaping the future of commerce, one transaction at a time.SummaryAs part of our fraud detection strategy, we are developing a browser-based solution to collect and analyze user data for profiling and risk assessment. We are seeking a Senior Software Engineer to design and develop this solution.Job ResponsibilitiesArchitect and develop a browser-based data collection system to gather user behavior insights, device/browser fingerprinting, and transaction risk signals.Implement JavaScript-based tracking techniques (e.g., mouse movements, keystroke patterns, clickstream analysis, scroll behavior) for behavioral profiling.Develop device fingerprinting solutions using browser attributes, installed plugins, screen resolution, fonts, WebGL, and canvas fingerprinting.Design and integrate real-time fraud detection mechanisms based on collected data.Work with backend teams to store, process, and analyze collected data securely and efficiently.Optimize data collection performance to minimize impact on user experience while maintaining accuracy.Collaborate with data scientists and security teams to improve risk scoring algorithms and fraud detection models.Research and stay updated on the latest browser security vulnerabilities, tracking techniques, and fraud prevention methods.Requirements5+ years of experience in software development with expertise in JavaScript, TypeScript, and front-end technologies.Deep understanding of browser internals, web tracking, and fingerprinting techniques.Experience with data collection frameworks (e.g., FingerprintJS, ClientJS, BrowserLeaks).Strong knowledge of web security principles, anti-fraud mechanisms, and real-time data processing.Experience with event-driven architecture and high-performance, low-latency data collection.Familiarity with techniques to implement consent-based tracking.Proficiency in backend technologies (Node.js, Python, or Golang) for secure data handling is a plus.Experience integrating with machine learning models for fraud detection is a plus.Nice to HaveExperience in fintech, fraud detection, or cybersecurity.Knowledge of bot detection and anti-fraud measures (e.g., CAPTCHA alternatives, behavioral analytics).Experience building real-time web tracking solutions at scale.

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