Data Scientist

2023-05-09 | po-021446

Company description

Leading Payments service with the mission to spread trust through society and to give people room to dream. The company offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences.

Responsibilities

Develop a deep understanding both of the underlying unit economics of the company's business and the ways in which ongoing credit and fraud risk trends may impact the company’s profitability
Apply modern data science techniques to analyze transactional data and produce new product performance insights
Holistically own creation, deployment, and monitoring of new and improved credit models
Act as a primary business stakeholder, collaborating closely with the data scientists and directly building predictive models
Expand on the company's existing suite of risk and product monitoring — both its strategic conception and the technical implementation, with an aim of both detecting problems and deviations but also uncovering insights for future step-change improvements
Consult with the Product Team, senior management, and the Risk Committee in the development stages of new products — what features are needed to mitigate risk, what risk policies should we put in place, and what does that mean for consumer experience?

Requirements

3 – 6 years of work experience in credit risk analytics
Bachelor’s degree or higher, preferably in a quantitative field, or equivalent experience
Basic SQL / Python / R or similar coding experience is preferred
Familiarity with AWS / Github is advantageous
Business English is required, and Japanese skills are a strong advantage
Most importantly, we are looking for a smart person eager to take responsibility and learn