BioCatch

Threat Analyst

BioCatch

full-time

Posted on:

Origin:  • 🇦🇷 Argentina

Visit company website
AI Apply
Manual Apply

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • 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
  • Full proficiency English and Spanish
  • Portuguese-Advantage
  • 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