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Associate Threat Analyst

🕒 March 6

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧐 Analyst

Where this job comes from

Posted on BioCatch's careers page, not through a job board

First seen by Remote Rocketship March 6

Still open on BioCatch's site. Checked 4 hours ago.

Logo of BioCatch

BioCatch

201 - 500 employees

🔒 Cybersecurity

💳 Fintech

🏦 Banking

Cybersecurity • Fintech • Banking

BioCatch is the leader in Behavioral Biometrics which analyzes an online user’s physical and cognitive digital behavior to protect individuals and their assets. Our mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust and ease seamlessly co-exist. Leading financial institutions around the globe use BioCatch to more effectively fight fraud, drive digital transformation and accelerate business growth. With over a decade of analyzing data, over 60 patents and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems.

📋 Description

• Build and maintain strong internal relationships with the various BioCatch people tasked with building the partners network • Provide basic training sessions to our partner customers • Support the technical side of the implementation of a streamlined process for partners onboarding • Work on scalable and standardised analytical reports • Leverage creativity and deep knowledge of our data to design and implement automation that improves scalability across the partner channel • Support any tactical responses to immediate fraud attacks • Continually learn and develop towards a career as an SME in the field of digital fraud prevention

🎯 Requirements

• Completed training/learning in an applicable field such as Computer Science/Mathematics/Statistics/Programming • Basic competency and experience of using SQL to interrogate data in real world applications • Basic competency with Python would be an advantage, but not essential for the Associate role • Some basic understanding of the concept of Machine Learning for classification • Some experience of presenting to groups of mixed audience types would be an advantage • History of maintaining strong relationships in a professional environment • Good communications and teamwork • Self and quick learner • Professional attitude

🏖️ Benefits

• Full-time, flexible working hours • Fully remote working arrangement

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