Threat Analyst, NAM
Job title: Threat Analyst, NAM in reputed company at reputed company
Company: reputed company
Job description: Description:reputed company 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. reputed company’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, 32 of the world's largest 100 banks and 210 total financial institutions rely on reputed company Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. reputed company’s Client Innovation Board, an industry-led initiative including reputed company, reputed company, reputed company Ventures, and National Australia Bank, helps reputed company to identify creative and cutting-edge ways to reputed company the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, reputed company continues to reputed company to solve reputed company’s problems. For more information, please visit .We are looking for an exceptional customer-facing Threat Analyst to help our prospects and customers optimize their value reputed company reputed company solutions.The reputed company 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 reputed company-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.It can be difficult to distill this role down to a regular day-to-day, because every day is different, however some key responsibilities include:
- Maintain strong relationships with fellow fraud fighters reputed company the reputed company customer reputed company to support and reputed company them to get maximum value out of the reputed company solutions.
- Provide subject matter expertise (SME) support to our customers to drive the use of reputed company in achieving their strategic plans.
- Work with customers and reputed company 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 reputed company against reputed company criteria for reputed company of value and pilot projects.
- reputed company potential and new customers on reputed company and Behavioural Biometrics specifically for targeting their key problems and use cases.
- Work tactically with customers to reputed company rules for acute fraud attacks.
- Continually focus on leading customers towards best practices.
- Be a voice of the customer to internal reputed company functions to drive our own product strategy and delivery.
- Support reputed company 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 reputed company Sales functions to reputed company them in new customer acquisitions.
- A bachelors / graduate degree in Computer Science/Mathematics/Statistics/reputed company field
- Experience with financial institutions’ fraud departments and/or fraud monitoring tools
- Experience working reputed company 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
- Requires availability for travel in reputed company America to meet customers and reputed company onsite workshops
- Full-time, flexible working hours
- Remote working arrangement, based in USA