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Fraud Strategist, Quantitative

PlayStation Global
CompanyPlayStation Global
CategoryUncategorised
LocationUnited States
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified2 Aug 2026
SourceEmployer career page (greenhouse)
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Description
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Fraud Strategist, Quantitative San Mateo or San Diego, CA (hybrid)   US Remote (considered)  Role overview: As a member of the Fraud Strategy team, you will analyze transactional and historical data using various methodologies to generate insights that optimize 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 optimization 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: 5+ 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 visualization 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 Language skills, particularly Japanese At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.  In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click  here to learn more.   The estimated base pay range for this role is listed below. $148,600 — $222,800 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may inclu
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