Note: The job is a remote job and is open to candidates in USA. 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. The Threat Analyst role involves advanced analytics and advising customers on fraud detection and prevention strategies while maintaining strong relationships with clients.
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
- 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
Skills
- 3+ Years of experience as a Threat Analyst/Data Analyst
- 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
- 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
- Requires availability for travel in North America to meet customers and lead onsite workshops
- Full-time, flexible working hours
- Remote working arrangement, based in USA
- Experience with Python and/or R (advantage)
Benefits
- Full-time, flexible working hours
- Remote working arrangement, based in USA
- Requires availability for travel in North America to meet customers and lead onsite workshops
Company Overview