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You will be updated with latest job alerts via emailJob Title: Senior Fraud Detection/Browser Fingerprinting Engineer
Job Type: FullTime
About 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 youre 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 customercentricity 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.
Summary
As part of our fraud detection strategy we are developing a browserbased 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 Responsibilities
Architect and develop a browserbased data collection system to gather user behavior insights device/browser fingerprinting and transaction risk signals.
Implement JavaScriptbased 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 realtime 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.
Requirements
5 years of experience in software development with expertise in JavaScript TypeScript and frontend 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 antifraud mechanisms and realtime data processing.
Experience with eventdriven architecture and highperformance lowlatency data collection.
Familiarity with techniques to implement consentbased tracking.
Proficiency in backend technologies ( Python or Golang) for secure data handling is a plus.
Experience integrating with machine learning models for fraud detection is a plus.
Nice to Have
Experience in fintech fraud detection or cybersecurity.
Knowledge of bot detection and antifraud measures (e.g. CAPTCHA alternatives behavioral analytics).
Experience building realtime web tracking solutions at scale.
Required Experience:
Manager
Full-Time