Fraud Analytics Specialist

What will you be doing day-to-day?

• Identify emerging threats and design sophisticated strategies across multiple systems to mitigate fraud

• Dive into data and identify key risks and develop outstanding strategies

• Maintain, design and assessing the efficiency of existing strategies

• Assist and take the lead on initiatives with internal and external partners to aid Fraud Prevention

• Ensure that our customers are at the heart of everything we do

 

Skills and Experience

Essential

• Experience using SQL & Python for data analysis

• Ability to work independently with a high level of self-motivation and willingness to learn

• Proficient with all Microsoft Office software (Excel, Word and PowerPoint)

• Creativity, energy and personal strive to stop new and emerging fraud threats and always creating new ideas

• Strong attention to detail and ability to identify and address issues

• Ability to plan and handle prioritisation of your own workload

Desirable

• An understanding of the payments ecosystem and experience of working within Fraud

• A background in analytics using data science tools i.e. Graph Analytics databases and Python

• Knowledge of the credit card and finance sector and other lending products, or at-least experience in Financial Services

• Experience using Falcon, Featurespace, ThreatMetrix, Outseer, Hunter, First Vision

• Experience of data visualisation tools - Tableau or Power BI

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PermanentBand D - Transactional Fraud (Specialist) - v2.docx