【仕事内容】
業務課題の掘り起しからAIや機械学習で解決できる課題への落とし込み、モデル作成、評価、システム実装、運用まで一気通貫で行っています。具体的な業務内容は次の通りです:
・市場業務高度化に資する様々なデータの分析を通じた業務効率化
・AWSのマネージドサービスを活用したデータ分析基盤の構築・拡張
【組織】
市場企画部 市場エンジニアリング室 DX推進Gr(市場系データサイエンティスト並びに14名、市場系デジタル開発18名)※
※協働運営をしている三菱UFJモルガン・スタンレー証券市場エンジニアリング室の兼務者を含みます
【魅力】
・個人の裁量が大きく、案件創出からモデル実装、運用まで、AI・機械学習プロジェクトの多様な場面で活躍、成長できる環境を備えています。
・業務部門との距離が近く、一体となって推進しているため試行錯誤が迅速に行えます。
・市場ビジネスの特性上、個社のミクロな経済活動とマクロな市場動向の分析双方にかかわることができます。具体的には、取引データ、財務データ、市場データ、ニュースデータなど多様なデータから顧客の真の課題を見出し、業務部署と一体となって分析、解決策実現ができます。
・AWSを利用したデータ分析環境が整備されており、顧客情報を含む銀行内の大量のデータに対して、OSSを活用した柔軟な分析や、MLOpsサイクルを自律的に回すことが可能です。
・チームメンバー全員が分析、開発ができるため、互いに助け合い、切磋琢磨しながら成長することがでいます。
・OSSコミットや外部の登壇、アウトリーチ活動を積極的に支援、推進しています(国内外イベント登壇、外部媒体掲載実績多数あり)
【求める人材】
・機械学習モデルを用いたアプリケーションに求められるインフラの要件定義、設計レビューの実務経験が1年以上
・金融機関という情報管理要件の厳しい環境下で、粘り強く業務に取り組める方
・Python、R、C#、C++等を用いた、データサイエンティスト・機械学習エンジニアとしての実務経験が1年以上
【歓迎】
・金融業務あるいは同等に情報管理要件の厳しい環境下でのクラウド環境の設計・実務経験
・AWSでの実務経験
・MLOps基盤の構築・運用経験
【給与】
年収600~1300万円,※職務経験を考慮のうえ決定いたします。
【勤務地】
東京都千代田区
【勤務時間】
08:40~17:10
【雇用・契約形態】
【待遇・福利厚生】
通勤手当 住宅手当 残業手当 厚生年金基金 退職金制度 寮・社宅 資格補助制度 各種研修
【休日・休暇】
慶弔休暇 年末年始 夏期休暇 有給休暇 完全週休2日制(土・日) 祝日
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