Associate Threat Analyst
New York, NY, US
BioCatch
Seamless and secure online experiences are built with BioCatch behavioral biometrics. We’re more than just fraud prevention. Our solution powers your digital growth.Description
BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist. Today, BioCatch counts over 25 of the top 100 global banks as customers who use BioCatch solutions to fight fraud, drive digital transformation, and accelerate business growth. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.
Come and work with intensely curious people who are dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
We are looking for an exceptional Associate Threat Analyst to help our prospects and customers optimize their value within BioCatch solutions.
The BioCatch Associate Threat Analyst, based in the US, is suitable for someone starting out their career in analytics and/or data science who wants to accelerate their career through the application of their skills in the exciting area of fraud prevention. This role is a first for BioCatch and the successful candidate will be focused on supporting BioCatch's expansion into the tier 3 banking organisations that come to us via our expanding partners network.
BioCatch is an extremely high paced company and the role will require someone who is confident to work autonomously, with support, to apply themselves to self-learning and bring their own ideas on how to innovate to scale this side of our business effectively. The role will have a significant impact and should be thought of as a career accelerator for someone starting out or building their skills.
It can be difficult to distill this role down to a regular day-to-day, because every day is different, however some key responsibilities include:
- 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
- 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
- Degree level would be an advantage, but not essential for the Associate role
- 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
Notes:
Role is US based
May require some travel from time to time
Full-time, flexible working hours
Fully remote working arrangement
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
Tags: Analytics Banking Computer Science Cyber crime Machine Learning Mathematics Python SQL
Perks/benefits: Career development Flex hours Startup environment
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