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Security Researcher

3 months ago

Noida, Uttar Pradesh, India Bolster Inc Full time

About Bolster
***As a Security Researcher, you will be responsible for discovering, analyzing, and collecting online threats that multiple companies will use to protect their customers online. We are looking for hands-on researchers who can help us uncover online fraud train our deep learning-powered detection engine, and also provide expert insights into design ideas and probable flaws.

Responsibilities:

  • Conduct and publish research in the space of online phishing and fraud.
  • Use opensource and Bolster's proprietary tools to discover online fraud.
  • Analyze largescale datasets and provide insights.
  • You will be working with data scientists & machine learning engineers to help improve Bolster's detection engine.
  • Support ad hoc data collection and analysis requests from teams across the organization.
  • Help improve processes and documentation and automate mundane tasks.

Requirements:

  • BS degree in the field of computer science or related field
  • 2+ years experience with basic scripting in Python/ Bash/ etc.
  • 1+ years experience in the field of security research and/ or threat intelligence
  • Strong experience with large scale data analysis and pattern recognition
  • Having worked in a crossfunctional environment in the past
  • Fluent with English communication
  • Demonstrated experience with technical writing and blogging
  • Experienced with working on tight deadlines

Why Bolster
We are the leader in Anti-Phishing AI

  • Bolster creates a Next-Generation Fraud Prevention SaaS platform & CheckPhish community platform based on pioneering work in Artificial Intelligencebased phishing and scam detection systems.
  • Bolster protects the world's top brands like Zoom, Dropbox, Uber, LinkedIn, Roblox, and other Fortune 500 customers. We are funded by toptier investors led by Thomvest Ventures and Crosslink Capital. Our team has over 100 years of combined cybersecurity experience at Cisco, Symantec, McAfee, Bell Labs, Open DNS, and Lacework.
  • Our AI/ML technology protects regular citizens from bad actors on the internet, using industryleading deep learning, computer vision, natural language processing, and machine learning models for highly accurate realtime detection & automated takedown of fraudulent sites at the internet scale.
  • Our work is challenging but fun. We're all about shipping elegant, highleverage products. Bolster cares deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our unique culture. Our inspiring proven leaders are hiring great people, providing super benefits, and impacting the world
***PLEASE NOTE THAT THIS ROLE REQUIRES IN OFFICE COLLABORATION/ATTENDANCE 3X A WEEK