Fraud Analyst

Headquartered in Los Angeles, California, AXS is a leading ticketing, data, and marketing solutions provider in the US, UK and Europe. The company and its solutions empower more than 300 clients – teams, arenas, theaters, clubs and colleges – to turn data into action, and maximize the value of all their events to create joy for fans.

AXS is looking for a Fraud Analyst to join the Finance team. You will be responsible for charting and analyzing fraud data, as well as designing and implementing new techniques to prevent future fraud.

Responsibilities:  

• Identifying and reporting on fraud trends as they occur to ensure we have the latest working parameters for the Fraud Systems.
• Reviewing, investigating and resolving irregular transactions.
• Assisting with researching and developing new fraud and risk detection models as well as modifications to existing systems to increase efficiency.
• Review monthly charge back reports and block fraud related accounts.
• Designing and applying new security controls.
• Work with law enforcement in fraud related matters when necessary.
• Other duties and responsibilities as assigned by management.

Qualifications:  

• Bachelor’s degree or equivalent work experience
• 2 year experience in e-Commerce Field
• A solid understanding of current fraud trends and software applications
• Methodical approach to problem solving and attention to detail
• Ability to recognize patterns
• Must have integrity and consistently exhibit strong work ethics
• Strong PC knowledge, including MS office, Word and Excel
• Excellent written and verbal communication skills
• Experience with Fraud Detection Methods and Analysis
• CPA or CIA accreditations a plus 

Abilities Required: 

• Requires a high degree of professionalism and the ability to handle confidential and insider information with regularity.
• Ability to remain flexible in a fast-paced, changing environment and to prioritize goals.
• Highly effective communicator to all levels within the company and with clients; able to clearly articulate the company's value proposition in oral and written communications.
• Excellent data analytical skills.