Fraud Strategy Quantitative Analyst

Role overview:

As a member of the Fraud Strategy team, you will analyse transactional and historical data using various methodologies to generate insights that optimise fraud prevention and payment decisioning. Your work will support our mission to enhance security and reduce friction, ensuring customers can safely log in, play, and make purchases across the PlayStation® ecosystem. Through your domain expertise and a deep understanding of our data, your insights and analysis will play a pivotal role in our strategy for this area.

What you'll be doing:

• Apply advanced mathematical, statistical, and computational methods to solve complex fraud and revenue optimisation problems
• Perform in-depth analysis to address key strategic areas in the customer journey, decipher analytical results, and deliver insights using hypothesis testing and experimental design
• Perform ad hoc modelling and analysis to understand broad trends within and across our data, evaluate vendor solutions, and drive our roadmap strategy
• Work closely with other Fraud Strategists, Data Scientists, and ML Engineers to collaborate on areas of opportunity
• Share and simplify findings to tell stories of analyses through dashboards, reports, data visualisations, and other internal forums

What we're looking for:

• 3+ years or equivalent in related quantitative analysis experience in a subject area relevant to fraud and payments
• Solid technical skills in SQL, Python, or equivalent. Additional knowledge of data visualisation tools (Tableau, Domo, etc.)
• Bachelor’s degree or equivalent experience in Economics, Finance, Statistics, Mathematics, Machine Learning, or other quantitative field
• Solid understanding of financial, mathematical, and statistical theories and practices, and a deep understanding of the modelling process and model performance indicators
• Experience with ML/AI models is a plus
• Strong written and verbal communication

Desirable:

• Experience in the video games industry
• Advanced knowledge of fraud trends in digital payments, e-commerce, and online transactions