PayPay, a fintech company that has grown to over 65 million users in about 6 years since its launch in 2018, is seeking a Software Engineer specializing in Fraud Prevention. The role involves developing and operating APIs that assess risks within the PayPay app, using SaaS services for development.
Key Responsibilities:
- Develop APIs that block transactions when risks are detected based on request content and transaction aggregation results.
- Perform simple coding using Scala, CQL, and Python.
- Handle end-to-end processes including negotiation with other teams, specification determination, development, testing, monitoring, and operation.
Past Projects:
- Creation of anti-social determination API for eKYC
- Building a judgment system for blocking transactions of suspicious users with high possibility of ATO (Account Takeover)
- Constructing judgment systems for blocking high-value payments and charges under specific conditions
- Developing judgment systems for blocking other suspicious transactions
Tech Stack:
- AWS, GCP
- Scala
- Python
- Azkaban, Zeppelin
- Maquette (proprietary SaaS product utilizing Kafka, Spark, Cassandra, etc.)
The ideal candidate will have:
- Experience in promoting business process improvement/efficiency projects (PM/PL/PMO)
- Custom application development experience (2+ years)
- Business-level or higher Japanese language skills
- Ability to communicate effectively with diverse stakeholders
Additional desired skills:
- Practical experience in fraud prevention for internet services or financial services
- English proficiency (Listening & Speaking)
PayPay offers a flexible work environment with super flex time (no core time), primarily remote work, and various benefits including annual paid leave, personal leave, and performance-based bonuses. The company values continuous learning and efficiency improvement in system development.
Join PayPay to contribute to the rapid growth of cashless payments and financial life platforms in Japan, working with a diverse team to create innovative solutions in fraud prevention and risk management.