AI Development Engineer – Data Intelligence Department, Rakuten Bank, Ltd.
Rakuten
AI Development Engineer – Data Intelligence Department, Rakuten Bank, Ltd.
Job Description
Job Description:Business OverviewWith over 14 million accounts, Rakuten Bank is the largest internet bank in Japan. Department OverviewThe Rakuten Bank Data Intelligence Department was established in 2017 and aims to strategically utilize our data.We are supporting decision-making such as strategy planning, marketing measures, investment, and credit administration by analyzing big data owned by Rakuten Bank and Rakuten Group. Our mission is to contribute to improving profitability and operational efficiency through these activities.We do more than just aggregate data. Recently, we have been focusing on AI development. Some of our models and algorithms have been built based on machine learning and are utilized for predicting things such as exchange rates and incoming customer calls.At the same time, we also have a mission to foster an analytical culture that enables Rakuten Bank to grow as a data-driven organization. We are the department that leads the company from the perspective of data utilization.Why We HireWe are looking for personnel who are good at data processing for advanced data analysis, promoting AI development, and strengthening data analysis platforms for all of Rakuten Bank. In addition to AI development and data analysis, it is possible to gain a wide range of experience including data infrastructure design, use of in-house application development tools, and organizing study sessions. Position DetailsResponsibilitiesBuild prediction / evaluation models: We mainly build models based on machine learning. These models are now used in various situations of banking, such as asset management and the prediction of email opening rates and incoming queries for our call centers.Development of data infrastructure / fostering a culture of data analysis: We are preparing an environment where every department can use cross-sectional data. For this we are developing a database for analysis and introducing BI tools in-house. We organize study sessions and actively promote the sharing of knowledge.Service planning and proposals based on data analysis: We perform multifaceted analyses using Rakuten Bank, Rakuten Group, and external data. In addition to we support front office decision-making, and plan and propose new services based on analysis results.StakeholdersWe have the opportunity to interact with various departments within the company, such as the Sales (retail/corporate), Account Management, and Customer Center. In addition, we are collaborating and actively discussing data utilization with group companies such as Rakuten Group and Rakuten Card.Mandatory Qualifications:5+ years hands-on experience with building and operating machine learning models5+ years experience building machine learning models using PythonExperience with processing large-scale data over hundreds of millions of records across multiple tablesExperience with building machine learning models in a Linux environmentKnowledge of statistics (probability, normal distribution, Bayesian inference, multiple regression analysis, etc.)Mathematical knowledge (calculus, linear algebra, etc.)Business experience with designing on public cloud (AWS, Microsoft Azure, etc.)Communication skills that allow you to listen to and understand the other person’s story and convey your thoughts in an easy-to-understand mannerLogical thinking that can make decisions efficiently and rationallyInterest in the latest technology Desired Qualifications:Business experience in the banking industry (data analysis, marketing, development, etc.)Experience with large-scale web application developmentExperience with web access data analysisExperience with BI tool usage (Tableau, Power BI, Data Portal, etc.)Experience with Model development with Auto ML ToolExperience with large-scale data processing (ETL / ELT)Additional Information on LocationTokyo (Shinagawa) Additional Information on SecondmentThis position will be employed by Rakuten Group, Inc. and seconded to Rakuten Bank, Ltd.※ For more information, please refer to the links below: ---------------------------------------------------------------------------- ▼ About Company ・History of the Rakuten Brand ・Rakuten Group as a Global Company ・Giving Back to Society ▼ Latest Company News ・Press Release ・Investor Relations ▼ Video Links ・Other Rakuten Group Activities ▼ Conditions of Employment ・Rakuten Group Employee Benefits ----------------------------------------------------------------------------#engineer #applicationsengineer #fintechgroup #RakutenBank #PythonLanguages:Japanese (Overall - 4 - Fluent)
Locations
- Japan, Tokyo
Skills Required
- buildingintermediate
- machine learning models using Pythonintermediate
- building machine learning models in a Linux environmentintermediate
- statisticsintermediate
- designing on public cloudintermediate
- banking industryintermediate
- large-scale web application developmentintermediate
- web access data analysisintermediate
- BI tool usageintermediate
- Model development with Auto ML Toolintermediate
- large-scale data processingintermediate
Required Qualifications
- 5+ years hands-on experience with building and operating machine learning models (experience, 5 years)
- 5+ years experience building machine learning models using Python (experience, 5 years)
- Experience with processing large-scale data over hundreds of millions of records across multiple tables (experience)
- Experience with building machine learning models in a Linux environment (experience)
- Knowledge of statistics (probability, normal distribution, Bayesian inference, multiple regression analysis, etc.) (experience)
- Mathematical knowledge (calculus, linear algebra, etc.) (experience)
- Business experience with designing on public cloud (AWS, Microsoft Azure, etc.) (experience)
- Communication skills that allow you to listen to and understand the other person’s story and convey your thoughts in an easy-to-understand manner (experience)
- Logical thinking that can make decisions efficiently and rationally (experience)
- Interest in the latest technology (experience)
- 5+ years hands-on experience with building and operating machine learning models (experience, 5 years)
- 5+ years experience building machine learning models using Python (experience, 5 years)
- Experience with processing large-scale data over hundreds of millions of records across multiple tables (experience)
- Experience with building machine learning models in a Linux environment (experience)
- Knowledge of statistics (probability, normal distribution, Bayesian inference, multiple regression analysis, etc.) (experience)
- Mathematical knowledge (calculus, linear algebra, etc.) (experience)
- Business experience with designing on public cloud (AWS, Microsoft Azure, etc.) (experience)
- Communication skills that allow you to listen to and understand the other person’s story and convey your thoughts in an easy-to-understand manner (experience)
- Logical thinking that can make decisions efficiently and rationally (experience)
- Interest in the latest technology (experience)
- Business experience in the banking industry (data analysis, marketing, development, etc.) (experience)
- Experience with large-scale web application development (experience)
- Experience with web access data analysis (experience)
- Experience with BI tool usage (Tableau, Power BI, Data Portal, etc.) (experience)
- Experience with Model development with Auto ML Tool (experience)
- Experience with large-scale data processing (ETL / ELT) (experience)
- Business experience in the banking industry (data analysis, marketing, development, etc.) (experience)
- Experience with large-scale web application development (experience)
- Experience with web access data analysis (experience)
- Experience with BI tool usage (Tableau, Power BI, Data Portal, etc.) (experience)
- Experience with Model development with Auto ML Tool (experience)
- Experience with large-scale data processing (ETL / ELT) (experience)
Responsibilities
- Build prediction / evaluation models: We mainly build models based on machine learning. These models are now used in various situations of banking, such as asset management and the prediction of email opening rates and incoming queries for our call centers.
- Development of data infrastructure / fostering a culture of data analysis: We are preparing an environment where every department can use cross-sectional data. For this we are developing a database for analysis and introducing BI tools in-house. We organize study sessions and actively promote the sharing of knowledge.
- Service planning and proposals based on data analysis: We perform multifaceted analyses using Rakuten Bank, Rakuten Group, and external data. In addition to we support front office decision-making, and plan and propose new services based on analysis results.
- Build prediction / evaluation models: We mainly build models based on machine learning. These models are now used in various situations of banking, such as asset management and the prediction of email opening rates and incoming queries for our call centers.
- Development of data infrastructure / fostering a culture of data analysis: We are preparing an environment where every department can use cross-sectional data. For this we are developing a database for analysis and introducing BI tools in-house. We organize study sessions and actively promote the sharing of knowledge.
- Service planning and proposals based on data analysis: We perform multifaceted analyses using Rakuten Bank, Rakuten Group, and external data. In addition to we support front office decision-making, and plan and propose new services based on analysis results.
- We have the opportunity to interact with various departments within the company, such as the Sales (retail/corporate), Account Management, and Customer Center. In addition, we are collaborating and actively discussing data utilization with group companies such as Rakuten Group and Rakuten Card.
Benefits
- general: ----------------------------------------------------------------------------
- general: #engineer #applicationsengineer #fintechgroup #RakutenBank #Python
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