Threat Analyst

5 days ago


London, Greater London, United Kingdom BioCatch Full time
Join Our Team as a Threat Analyst

BioCatch is a leader in Behavioral Biometrics, leveraging machine learning to analyze online user behavior and protect individuals online. Our mission is to unlock the power of behavior and deliver actionable insights for a digital world where identity, trust, and ease coexist.

We are seeking an exceptional Threat Analyst to help our prospects and customers optimize their value within BioCatch solutions. As a key individual in the global fight against digital fraud, you will work closely with customers and BioCatch Data Science to continually strive for high fraud detection rates while maintaining low levels of friction for genuine customers.

Key Responsibilities:
  • 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.
  • 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.
  • Work tactically with customers to deploy rules for acute fraud attacks.
  • 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.
Requirements:
  • 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 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

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
  • Spanish, French or German an advantage

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