楽天グループ株式会社：1028898　Research Scientist, Fintech Optimization – Rakuten Institute of Technology (RIT)

非公開

東京都

会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1028898　Research Scientist, Fintech Optimization - Rakuten Institute of Technology (RIT)

仕事内容

Job Description:
Business Overview The Rakuten AI & Data Division (AIDD) creates powerful, customer-focused search, recommendation, data science, advertising, marketing, pricing, and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries.  
Department Overview Rakuten Institute of Technology (RIT), the AI R&D engine of Rakuten Group, is a global network of research labs spanning Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. We are dedicated to pioneering advancements in core AI technologies, with a focus on machine learning, deep learning, and generative AI. Our researchers are actively exploring the use case of large language models, intelligent agent systems, and other cutting-edge applications, driving innovation across Rakuten's diverse ecosystem.

Fintech Optimization Team provides solutions regarding financial markets, trading and investment across the Rakuten Group's set of fintech companies. As an internal solution provider to Rakuten's fintech companies, Fintech Optimization Team members must understand business needs, develop technically strong solutions (including through simulation, algorithm, backtesting, and theoretical analysis), and then communicate with business personnel about the appropriateness of those solutions. Fintech Optimization Team contains PhD-level researchers from a variety of disciplines, spanning computer science and physics to economics/finance. 
Position: Why We Hire Fintech Optimization Team is seeking researchers with a background in computer science, mathematical economics, finance, data analysis, algorithm design, and implementation, who can work together on the above research topics.

Position Details - Define short/middle-term direction of projects while aligning with business, product and engineering team - Design solutions to solve defined business problems. Also, appropriately implement the designed algorithms and evaluate their performance - Work with Project Management team to gather business requirements, define suitable KPIs and guide members on how to validate if the solutions built meets/exceeds the requirements/KPIs - Support engineering teams and product teams to adapt prototypes in production - Support junior-level research scientists - Contribute to the advancement of science via writing papers, attending conferences and submitting patent proposals

求める経験・スキル

Mandatory Qualifications:
- Ph.D. in Computer Science, Mathematical Economics, Finance or a related field, or equivalent practical experience- Proficiency in designing and implementing algorithms, considering computational complexity - Ability to effectively communicate with researchers, engineers, and business personnel in English- Ability to work independently and drive projects forward- Proficiency to analyze and visualize data using Python- Understanding of statistics and machine learning, with some practical experience- Development experience in a Unix/Linux environment- Proficient in code management (e.g., Git)- Interest and curiosity about financial markets

Desired Qualifications:
- Interest and experience in LLM and AI agent- Demonstrated interest and proficiency in developing technological solutions to problems in finance, at the enterprise scale- Strong international publication records- Demonstrated project achievements, such as GitHub repositories- Coding skills: Proficiency in at least one of the programming languages Rust or Haskell, or the ability to quickly learn these languages- Experience leading research members for more than two years- Experience in a field related to high-frequency trading- Ability to effectively communicate with business personnel in Japanese

Other Information:Additional information on English QualificationFluent Level English