Threat Analyst, NAM

About the role

The BioCatch Threat Analyst is a consultancy role that combines advanced analytics, fraud detection/prevention expertise, and communication skills. This role requires a motivated self-starter who can quickly ramp-up and work independently.

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.

Requirements

• Desired Skills and Experience:
• 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
• 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 North America to meet customers and lead onsite workshops
• Full-time, flexible working hours
• Remote working arrangement, based in USA or Canada
• Salary range: 115k - 135k USD (annual base salary)
• We take care of our team inside and outside of work, with benefits designed to support your health, growth, and well-being.
• Flexible paid time off policy
• Sick, Maternity/ Paternity, and other paid leaves
• 401(k) plan with up to 4% company match
• Healthcare programs tailored to your needs
• Life insurance
• Wellness programs, EAP, and personalized health advocacy
• Monthly reimbursements for home internet and cell phone