Fraud Strategist, Quantitative

- 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 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 - Experience in the video games industry (desirable) - Advanced knowledge of fraud trends in digital payments, e-commerce, and online transactions (desirable) - Language skills, particularly Japanese (desirable)