Machine Learning Engineer, Credit Modeling

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.

OUR VISION IS UNLIMITED We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.

Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.

This role focuses on leading the development of cutting-edge machine learning software systems for credit modeling and default risk prediction. The ideal candidate will be responsible for deploying these systems to production and ensuring they meet the diverse needs of users and merchants.

Responsibilities

• Design and implement credit ML models and systems, ensuring robust and scalable solutions.
• Develop end-to-end ML pipelines for credit modeling, including data collection, preprocessing, model training, and deployment.
• Collaborate with data scientists and software engineers to integrate ML models into production environments, enhancing lending systems.
• Utilize cloud platforms (AWS preferred, GCP, Azure) to scale ML solutions, manage resources, and optimize costs.

Qualifications

• 3+ years of professional experience, particularly in developing and implementing credit ML models or systems within the banking or FinTech industry.
• Educational background in Computer Science, Engineering, Mathematics or related field.
• English language only is welcome! Japanese bilingual ideal.
• Good understanding of supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods.
• Proficiency in Python, PostgreSQL, Java/Scala.
• Strong knowledge of database management systems (e.g., MySQL, PostgreSQL), data wrangling, feature engineering, ETL processes, and SQL databases.
• Familiarity with model monitoring and performance evaluation techniques.

Application Instructions

Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.