Position Name: Data Scientist
Responsibilities:
- Develop a deep understanding both of the underlying unit economics of company’s business and they ways in which ongoing credit and fraud risk trends that may impact 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 directly building predictive models
- Expand on company 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 our Product Team, senior management, and the Risk Committee in the development stages of new products.
Qualifications:
- 3 – 6 years 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, Japanese skills are a strong advantage
- Most importantly, we are looking for a smart person eager to take responsibility and learn.
About Company
The Company offers instant, monthly consolidated credit to consumers by removing hassles from payment and purchase experiences. Uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. The Company increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers.
This organization continues to innovate to make shopping easier and more fun both online and offline.