Research Scientist, Customer Program (Fintech AI) - Rakuten Institute of Technology (RIT)

Description

Department Overview

Rakuten Institute of Technology (RIT) , the core AI research wing of Rakuten, is spread across six geographical locations including Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. This division consists of AI research scientists with specialization in machine learning, deep learning, natural language processing, computer vision and data mining.

Fintech AI is one of the research topics at RIT and is positioned as a critical research area within the Rakuten Group, particularly in its FinTech businesses. Research scientists develop algorithms related to credit scoring, risk scoring, and customer credit evaluation.

As a Research Scientist, you will work on developing new credit models and improving existing ones by analyzing various types of data, such as customer attributes, behavioral data, and delinquency data, as well as through discussions with business stakeholders. When releasing new models, research scientists are responsible for conducting offline evaluations using historical data and designing online proof-of-concept (POC) experiments.

The role of a research scientist requires the following :

1) Understanding business challenges and providing appropriate solutions to contribute to improved business performance.

2) Identifying promising research from the latest studies that could benefit the business in the long term and applying it to real-world environments.

For this particular position, we are seeking Research Scientists who can apply their expertise in one or more of the following areas to real-world business scenarios :

• Building embeddings using Deep Learning
• Multi-task Learning / Transfer Learning
• Causal Inference

Additionally, to achieve the goals outlined in (1) and (2), research scientists are expected to adopt a hypothesis-driven approach, which may involve conducting ad-hoc data analyses repeatedly as needed.

Position : Why We Hire

Fintech AI group is seeking research scientists with a background in data analysis, algorithm design, and implementation, who can work together on the above research topics.

Position Details

Mandatory Qualifications :

Desired Qualifications :

Building embeddings using Deep Learning

Multi-task Learning / Transfer Learning

Causal Inference