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PayPay
6 months ago
Grade
Middle
Experience
from 3 years
Work format
Hybrid
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
PayPay is a fintech company that has surpassed 75 million users in less than 8 years since the service launched in 2018. PayPay is home to diverse specialists from approximately 50 countries worldwide. OUR VISION IS BOUNDLESS_ We believe that a clear vision is not required to create a future beyond our imagination. PayPay aims to realize a vision (future) that no one can imagine, always maintaining a "Day 1" stance. We are looking for colleagues who are enthusiastic about taking on this grand vision, honing products with overwhelming speed that competitors cannot replicate, and passionately working as professionals to advance Japanese cashless payments and the financial service platform based on them, independently identifying issues, and creating new value together through collaboration with those around them. About the Work ▼ Introduction to the PayPay Financial Services Development Department This is the organization responsible for planning and executing new financial services to transform PayPay from a payment app into a "super app for finance." We are actively promoting product development utilizing partnerships with leading global players and cutting-edge technologies, focusing on three areas: "Web3," "Global (International Collaboration)," and "AI/Data Utilization." We aim to create world-class, smartphone-centric financial experiences on a global scale, leveraging a user base of over 70 million. ▼ Related Content The Financial Future Created by PayPay_ Vol. 01 The Financial Future Created by PayPay_ Vol. 02 The Financial Future Created by PayPay_ Vol. 03 The Financial Future Created by PayPay_ Vol. 05 Realizing "USER FIRST" with Overwhelming Speed. Does this work align with the "User First" principle? Striving for "financial" services that transcend conventional industry norms. PayPay Fundraise, which achieved 5x the expected results through machine learning and the "User First" principle. PayPay Data Scientists Tackling Unknown Problems While Confronting the "Limits" of Data. ▼ Reason for Hiring PayPay aims to become the No. 1 fintech company and convey a new vision of finance to the world. To achieve this, we believe it is essential to develop the organization as an AI and data utilization organization. This is because AI technologies will undoubtedly play a central role in providing the best financial experience to all users in the future. As an example of a project that utilized machine learning technologies, we can point to "PayPay Fundraise," launched on March 26, 2024. Going forward, we will continue to provide the best and new financial experiences using AI technologies and related data technologies. However, when using AI technologies at the core of critical systems, high demands are placed on AI systems. Not only meeting business requirements and achieving high performance in machine learning tasks, but also ensuring high reliability as a system handling "money" and "user data" is paramount. In particular, ensuring the reliability of AI systems with a high degree of uncertainty is a complex challenge. We are seeking individuals who are enthusiastically prepared to tackle the creation and development of the AI and data utilization infrastructure that supports new financial services, including the implementation of MLOps. *Upon joining, you will be assigned to the "Financial Strategy Department" and will initially work there, but your future career path will be discussed according to your aspirations.
As a Product Manager (PdM) for Data Science and AI projects within the Financial Strategy Department, you will be responsible for the following: Bridging Business and Engineering: Understanding the needs of the business side, aligning expectations with engineers and data scientists, organizing roles, and facilitating consensus. Defining requirements and designing projects. Translating Business Requirements Documents (BRDs) into specific AI project specifications and designing system architecture so that DS/MLEs can focus on development. Project Management: Managing the progress of projects in merchant and consumer lending, and reporting to stakeholders. Supporting Data Structure Optimization: Assisting in system design with an understanding of data structure, considering the constraints of the financial domain.
Required Experience/Skills Product Management Experience: Experience in planning, developing, and operating features utilizing data and algorithms in web services or applications (3+ years). Business Translation Skills: Ability to translate abstract business challenges into problems solvable through data analysis or machine learning. Stakeholder Management: Ability to coordinate and achieve consensus among various departments, including engineers, data scientists, legal, compliance, and business departments. Data Literacy: Basic knowledge of statistics, machine learning, and data pipelines (at a level sufficient for technical discussions with DS/MLEs). Documentation Skills: Ability to create BRDs (Business Requirements Documents) and PRDs (Product Requirements Documents) without discrepancies in both technical and business aspects. Hands-on Analysis Experience: Practical experience extracting data using SQL and performing basic data analysis using Python/R, etc. Early-stage System Development Experience: Practical experience in requirements definition, basic design, etc. Desired Experience/Skills Financial Domain Knowledge: Knowledge of financial operations such as banking, credit cards, insurance, and lending, as well as an understanding of relevant legislation (Installment Sales Act, Lending Act, etc.). Understanding of AI System Lifecycle: Understanding of the entire process from model PoC to production deployment, accuracy monitoring, and retraining cycle (MLOps). Experience Developing on High-User-Volume Platforms: Experience with products that handle traffic and data on the scale of tens of millions of users, such as PayPay. English Proficiency: Business-level English proficiency (for interaction with global development teams). Desired PayPay Profile Alignment with PayPay's 5 senses criteria
Opportunity to be involved in the development of services that provide the best financial experience to over 73 million users and national merchants. Opportunity to work with unique data and business challenges that only you can handle. Opportunity to play a central role in the growth of the AI utilization organization. By working in the business development department and collaborating closely with members with diverse specializations, such as data scientists, data analysts, and members from other departments, you will be able to develop your communication skills and broaden your perspective. Employment Type Full-time employee Work Location Hybrid work format
Working Hours Super flexible hours (no fixed working hours) Standard: 9:00 AM - 5:45 PM (7 hours 45 minutes actual work + 1 hour break) Holidays Saturdays, Sundays, national holidays, New Year's holidays, and company-designated holidays. Leave (Statutory Paid Leave and Corporate Benefits) Annual Paid Leave (14 days in the first year, prorated based on the month of hire. Usable from the first day of employment). Personal Leave (5 days granted each year / 3 or 5 days in the first year depending on the month of hire). *This is a unique PayPay paid leave system that can be used for treating yourself/family members/pets for illnesses/injuries, visiting doctors, etc. Salary Annual salary (includes a portion of fixed overtime pay) Determined according to company regulations based on experience, skills, results, and contributions. Reviewed annually. Overtime pay, late-night work allowance. *A portion of the salary may be paid into a PayPay account (digital salary distribution supported). Benefits Social Insurance (Health Insurance, Pension Insurance, Employment Insurance, Workers' Accident Insurance). Corporate Retirement Plan (401k).
About PayPay PayPay is a fintech company that has surpassed 75 million users in less than 8 years since the service launched in 2018. PayPay is home to diverse specialists from approximately 50 countries worldwide. OUR VISION IS BOUNDLESS_ We believe that a clear vision is not required to create a future beyond our imagination. PayPay aims to realize a vision (future) that no one can imagine, always maintaining a "Day 1" stance. We are looking for colleagues who are enthusiastic about taking on this grand vision, honing products with overwhelming speed that competitors cannot replicate, and passionately working as professionals to advance Japanese cashless payments and the financial service platform based on them, independently identifying issues, and creating new value together through collaboration with those around them. About the Work ▼ Introduction to the PayPay Financial Services Development Department This is the organization responsible for planning and executing new financial services to transform PayPay from a payment app into a "super app for finance." We are actively promoting product development utilizing partnerships with leading global players and cutting-edge technologies, focusing on three areas: "Web3," "Global (International Collaboration)," and "AI/Data Utilization." We aim to create world-class, smartphone-centric financial experiences on a global scale, leveraging a user base of over 70 million. ▼ Related Content The Financial Future Created by PayPay_ Vol. 01 The Financial Future Created by PayPay_ Vol. 02 The Financial Future Created by PayPay_ Vol. 03 The Financial Future Created by PayPay_ Vol. 05 Realizing "USER FIRST" with Overwhelming Speed. Does this work align with the "User First" principle? Striving for "financial" services that transcend conventional industry norms. PayPay Fundraise, which achieved 5x the expected results through machine learning and the "User First" principle. PayPay Data Scientists Tackling Unknown Problems While Confronting the "Limits" of Data. ▼ Reason for Hiring PayPay aims to become the No. 1 fintech company and convey a new vision of finance to the world. To achieve this, we believe it is essential to develop the organization as an AI and data utilization organization. This is because AI technologies will undoubtedly play a central role in providing the best financial experience to all users in the future. As an example of a project that utilized machine learning technologies, we can point to "PayPay Fundraise," launched on March 26, 2024. Going forward, we will continue to provide the best and new financial experiences using AI technologies and related data technologies. However, when using AI technologies at the core of critical systems, high demands are placed on AI systems. Not only meeting business requirements and achieving high performance in machine learning tasks, but also ensuring high reliability as a system handling "money" and "user data" is paramount. In particular, ensuring the reliability of AI systems with a high degree of uncertainty is a complex challenge. We are seeking individuals who are enthusiastically prepared to tackle the creation and development of the AI and data utilization infrastructure that supports new financial services, including the implementation of MLOps. *Upon joining, you will be assigned to the "Financial Strategy Department" and will initially work there, but your future career path will be discussed according to your aspirations. ▼ Specific Responsibilities As a Product Manager (PdM) for Data Science and AI projects within the Financial Strategy Department, you will be responsible for the following: Bridging Business and Engineering: Understanding the needs of the business side, aligning expectations with engineers and data scientists, organizing roles, and facilitating consensus. Defining requirements and designing projects. Translating Business Requirements Documents (BRDs) into specific AI project specifications and designing system architecture so that DS/MLEs can focus on development. Project Management: Managing the progress of projects in merchant and consumer lending, and reporting to stakeholders. Supporting Data Structure Optimization: Assisting in system design with an understanding of data structure, considering the constraints of the financial domain. ▼ Benefits of This Position Opportunity to be involved in the development of services that provide the best financial experience to over 73 million users and national merchants. Opportunity to work with unique data and business challenges that only you can handle. Opportunity to play a central role in the growth of the AI utilization organization. By working in the business development department and collaborating closely with members with diverse specializations, such as data scientists, data analysts, and members from other departments, you will be able to develop your communication skills and broaden your perspective. Required Experience/Skills Product Management Experience: Experience in planning, developing, and operating features utilizing data and algorithms in web services or applications (3+ years). Business Translation Skills: Ability to translate abstract business challenges into problems solvable through data analysis or machine learning. Stakeholder Management: Ability to coordinate and achieve consensus among various departments, including engineers, data scientists, legal, compliance, and business departments. Data Literacy: Basic knowledge of statistics, machine learning, and data pipelines (at a level sufficient for technical discussions with DS/MLEs). Documentation Skills: Ability to create BRDs (Business Requirements Documents) and PRDs (Product Requirements Documents) without discrepancies in both technical and business aspects. Hands-on Analysis Experience: Practical experience extracting data using SQL and performing basic data analysis using Python/R, etc. Early-stage System Development Experience: Practical experience in requirements definition, basic design, etc. Desired Experience/Skills Financial Domain Knowledge: Knowledge of financial operations such as banking, credit cards, insurance, and lending, as well as an understanding of relevant legislation (Installment Sales Act, Lending Act, etc.). Understanding of AI System Lifecycle: Understanding of the entire process from model PoC to production deployment, accuracy monitoring, and retraining cycle (MLOps). Experience Developing on High-User-Volume Platforms: Experience with products that handle traffic and data on the scale of tens of millions of users, such as PayPay. English Proficiency: Business-level English proficiency (for interaction with global development teams). Desired PayPay Profile Alignment with PayPay's 5 senses criteria Conditions Employment Type Full-time employee Work Location Hybrid work format
Working Hours Super flexible hours (no fixed working hours) Standard: 9:00 AM - 5:45 PM (7 hours 45 minutes actual work + 1 hour break) Holidays Saturdays, Sundays, national holidays, New Year's holidays, and company-designated holidays. Leave (Statutory Paid Leave and Corporate Benefits) Annual Paid Leave (14 days in the first year, prorated based on the month of hire. Usable from the first day of employment). Personal Leave (5 days granted each year / 3 or 5 days in the first year depending on the month of hire). *This is a unique PayPay paid leave system that can be used for treating yourself/family members/pets for illnesses/injuries, visiting doctors, etc. Salary Annual salary (includes a portion of fixed overtime pay) Determined according to company regulations based on experience, skills, results, and contributions. Reviewed annually. Overtime pay, late-night work allowance. *A portion of the salary may be paid into a PayPay account (digital salary distribution supported). Benefits Social Insurance (Health Insurance, Pension Insurance, Employment Insurance, Workers' Accident Insurance). Corporate Retirement Plan (401k). Other Information: PayPay Inside-Out (Corporate Blog) /JP PayPay Inside-out (Corporate Blog) /ENG PayPay Product Blog /JP PayPay Product Blog /ENG PIVOT Video: [The Financial Revolution Launched by PayPay]
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