Fraud Strategist, Quantitative

PlayStation; San Mateo (CA); On-site; USD 148,600 - 222,800; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Matching 401(k)

Paid time off

Employee discounts for Sony products

Job summary

PlayStation is seeking a Fraud Strategist in San Mateo or San Diego, CA. You will analyze data to enhance fraud prevention and payment decision-making. The role requires 5+ years of quantitative analysis experience, technical skills in SQL and Python, and a strong educational background.

The successful candidate will solve complex problems, perform in-depth analysis, and share findings through detailed reporting and visualizations. This role comes with top-tier benefits including medical, dental, and a potential bonus package.

Qualifications

• 5+ years of quantitative analysis experience related to fraud and payments.
• Strong technical skills in SQL, Python, or equivalent.
• Solid understanding of financial and statistical theories.

Responsibilities

• Analyze transactional and historical data to optimize fraud prevention.
• Apply advanced methods to solve fraud and revenue optimization problems.
• Collaborate with other strategists and data scientists.

Skills

Quantitative analysis

SQL

Python

Data visualization

Communication

Education

Bachelor’s degree in Economics, Finance, Statistics, Mathematics, or related field

Tools

Tableau

Domo

Job description

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. The estimated base pay range for this role is $148,600—$222,800 USD.

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 employee discounts for Sony products. This role also may be eligible for a bonus package.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.