Paidy Inc
Financial Services
DataScientist-FraudAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist - Fraud Analytics at Paidy Inc. Skills: Fraud analytics, Machine learning, Data science. Design and maintain real-time fraud detection systems. Develop and fine-tune models”
What You'll Achieve.
Reduce company's credit and fraud risk; Combat fraud within the Paidy payment ecosystem; Identify fraudulent patterns; Understand how bad actors are abusing Paidy; Set rules to prevent losses; Reduce false positives; Strengthen Paidy's fraud defenses; Ensure a unified approach to fraud prevention; Enhance our fraud ecosystem
Industry & Context.
Analyze complex fraud patterns; Reduce false positives
Must be eligible to work in Japan
What They're Looking For.
Must Have
Proficiency in SQL and Python or R, Experience in data science or analytics role, Ability to translate technical findings, Bachelor's degree or higher, Minimum business level English skills
Nice to Have
Experience with machine learning frameworks, Experience with cloud platforms like AWS, Building AI-driven models, Bachelor's degree or higher in quantitative field, Equivalent professional experience
What You'll Do.
Design and maintain real-time fraud detection systems
Develop and fine-tune models
Analyze complex fraud patterns
Produce detailed reports
Use presentation skills to report on work impact
Advocate for necessary resources and budget
Coordinate cross-functionally with Engineering
Act as a primary liaison with external parties
and hire new data sources or
Provide actionable feedback on product designs
Build deep fraud domain knowledge
Stay up-to-date with industry trends
Monitor and assess performance of existing detection systems
Make data-driven improvements
Document processes and methodologies
How You'll Work.
Team & Collaboration
Cross-functionally with Engineering; Cross-functionally with Fraud Operations; Cross-functionally with Product; Cross-functionally with Marketing; Cross-functionally with PR teams; External parties and vendors
Communication Scope
Presentation skills; Persuasive takeaways
Full Job Description
About Paidy Inc. Paidy is Japan's pioneer and leading BNPL service company. At Paidy, we believe in creating simple, instant experiences to take the hassle out of shopping with a touch of magic. Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers. Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services. Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com. About the Position Paidy’s Credit Risk and Fraud Risk departments support decision-making and operations in all parts of Paidy’s business through data analytics and also designs the models and tools to reduce the company’s credit and fraud risk. The Fraud Risk Department is currently looking for a Data Scientist to help combat fraud within the Paidy payment ecosystem. The fraud team’s role is to use payment and consumer behavior data to identify fraudulent patterns, understand how bad actors are abusing Paidy and set rules to prevent losses. To be a successful member of the team, you should be highly adaptable and can demonstrate past achievements working in the financial, e-commerce or telecom industry. This position requires somebody with a keen eye for detail and an out of the box way of thinking. Key Role & Responsibilities Design and maintain real-time fraud detection and alerting systems that are efficient, scalable, and capable
Applying for this Data Scientist - Fraud Analytics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Paidy Inc?
Real rants from real employees. Read before you apply.