BioCatch

BioCatch is a behavioral biometrics company that delivers advanced cybersecurity solutions to prevent fraud and secure online experiences. Established in 2011,

Threat Analyst, EMEA

Location

United Kingdom

Posted

103 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Threat Analyst, EMEA

BioCatch

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, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. We are looking for an exceptional customer-facing Threat Analyst to help our prospects and customers optimize their value within BioCatch solutions. The BioCatch Threat Analyst is a consultancy role that involves a combination of skills. You will be comfortable completing advanced analytics, advising customers on fraud detection/prevention and strategy with your domain knowledge expertise and communicating with customers from C-level to operational fraud investigators. This role is unique in the industry and to be successful, you must be a motivated self-starter who can ramp-up quickly and work autonomously. With a support network of Threat Analysts distributed globally, you will become a key individual in the global fight against digital fraud. It can be difficult to distill this role down to regular day-to-day, because every day is different, however, some key responsibilities include: - Maintain strong relationships with fellow fraud fighters within the BioCatch customer base to support and enable them to get maximum value out of the BioCatch solutions. - Provide subject matter expertise (SME) support to our customers to drive the use of BioCatch in achieving their strategic plans. - Work with customers and BioCatch Data Science to continually strive for high fraud detection rates, whilst maintaining low levels of friction for genuine customers. - Use a data-driven approach to prove the value of BioCatch against success criteria for proof of value and pilot projects. - Educate potential and new customers on BioCatch and Behavioural Biometrics specifically for targeting their key problems and use cases. - Work tactically with customers to deploy rules for acute fraud attacks. - Continually focus on leading customers towards best practices. - Be a voice of the customer to internal BioCatch functions to drive our own product strategy and delivery. - Support BioCatch Data Science in researching new and emerging threats across our main use cases including Account Takeover, Account Opening, Remote Access Scams, Social Engineering Scams and Mule detection. - Deliver reporting and insights on fraud detection performance. - Share interesting stories and learnings from the field with our Sales Enablement function and strive to be a thought leader in the fraud space. - Provide SME support to the BioCatch Sales functions to enable them in new customer acquisitions. Requirements Desired skills and experience: - A bachelor/graduate degree in Computer Science/Mathematics/Statistics/related field - Experience with financial institutions’ fraud departments and/or fraud monitoring tools - Experience working within cross-functional teams - Experience with SQL to an intermediate/advanced level - Experience with Python and/or R (advantage) - Understanding of statistical modelling techniques - Strong presentation skills with a proven record of presenting to a range of audience types - Great business and customer relationships - Good communications and teamwork - Self and quick learner - Professional attitude Notes: - Requires availability for travel in EMEA to meet customers and lead onsite workshops - Full-time, flexible working hours - Remote working arrangement, based in EMEA - Fluency in Spanish is an advantage

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