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Threat Analyst

BioCatch

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job 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 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.

Job Responsibility:

  • 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:

  • A bachelors / 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 modeling 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

Additional Information:

Job Posted:
December 26, 2025

Employment Type:
Fulltime
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