Join our team of dedicated fraud experts in our Risk Intelligence team, who play a pivotal role in fighting fraud and helping our customers succeed! 

You will be responsible for maximising machine-learning model performance, identifying and resolving emerging threats by analyzing large data sets, outwitting fraudsters, and providing fraud insights directly to our customers. You will make a big impact in advancing the payment risk decisioning model to the next level.  

We are looking to speak with fraud fighters with a great attitude, willingness to perform, and ability to get things done!

Responsibilities:

• Analyse large data sets to identify and extrapolate fraud trends & revenue maximisation opportunities. Proposing effective, refined solutions, and run risk rule simulations  
• Monitor and optimise merchant performance.
• Identify fraud patterns, trends and emerging threats.
• Produce analytical reports that provide actionable insights on fraud patterns.
• Describe and explain fraud trends to merchants and non fraud departments.
• Identify new Machine Learning features and rules, working closely with Decision Science teams to improve model performance.
• Keep up to date on the latest fraud trends, researching web (dark and surface) and industry, and suggest counter measures.

Requirements:

• 2+ years experience in e-commerce, payments or risk-related industry.
• Proven analytical skills and ability to define & clearly articulate success by metrics and data-driven measurements
• Strong understanding of consumer and buyer behaviours. 
• Exceptional ability to make decisions with limited and conflicting information.
• Strong critical thinking skills with advanced judgment capability.
• Solid knowledge of Card Not Present (CNP) environment.
• Ability to manage multiple assignments while working independently.
• Communication & presentation skills with internal and external stakeholders. 

Desirable Skills:

• Data analytics & data visualization tools such as;
• Looker / Tableau
• SQL / Python