Why PlayStation
PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus acclaimed PlayStation software titles from PlayStation Studios and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation technology and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment a wholly-owned subsidiary of Sony Group Corporation.
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 youll 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 were 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.)
- Bachelors 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 skills:
- Experience in the video games industry
- Advanced knowledge of fraud trends in digital payments e-commerce and online transactions
- Language skills particularly Japanese
Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect how we use it who we share it with and your data protection rights.
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.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Why PlayStationPlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus acclaimed PlayStation so...
Why PlayStation
PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus acclaimed PlayStation software titles from PlayStation Studios and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation technology and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment a wholly-owned subsidiary of Sony Group Corporation.
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 youll 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 were 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.)
- Bachelors 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 skills:
- Experience in the video games industry
- Advanced knowledge of fraud trends in digital payments e-commerce and online transactions
- Language skills particularly Japanese
Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect how we use it who we share it with and your data protection rights.
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.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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