AWSAzureCassandraGCPJavaKafkaMongoDBPython
業務内容
- Design, develop, and optimize a high-performance real-time platform for pricing, quoting, and lifecycle automation across FICC derivatives.
- Build and maintain low-latency electronic trading systems and infrastructure; ensure robustness and scalability.
- Implement and operate FIX protocol for order routing, market data, and post-trade communications with exchanges and counterparties.
- Collaborate with quants, venues, traders, and sales to translate strategies into production-ready code.
- Perform system analysis, performance tuning, and troubleshooting to ensure reliability and accuracy.
- Develop tools for monitoring, alerting, and reporting on trading system performance and market activity.
- Participate in code reviews and architectural discussions; contribute to technical direction and SDLC practices.
- Explore AI/ML tooling to enhance workflows and system capabilities; ensure regulatory and risk compliance.
技術スタック
必須スキル
- Java (commercial experience) and Python for analytics/AI
- FIX protocol (4.2/4.4/5.0 SP2): parsing, sessions, messaging
- Real-time data processing, distributed systems, multi-threading
- Low-latency design; market microstructure, RFQ/RFT, auto-quoting, lifecycle automation
- OO design, data structures/algorithms; trading workflows
- DevOps, CI/CD, automated testing; SDLC collaboration
- Ability to work with global teams and communicate across technical/business audiences
歓迎スキル（該当する場合）
- NoSQL stores (Cassandra, MongoDB, Elasticsearch)
- Kafka or modern middleware
- Cloud platforms (AWS/Azure/GCP)
- kdb+/Q or time-series databases
- Networking/low-latency networking knowledge; debugging distributed systems
キャリア成長観点
- 最先端の市場メイキングプラットフォーム構築と低遅延システムの設計・最適化を通じて技術力を加速
- FIX、FICCデリバティブ、リアルタイム取引ワークフローの深い理解と、量子研究・トレーダー・セールスとの連携でビジネス視点を強化
- クラウド/NoSQL/Kafka/MLなど現代技術の習得と、グローバルチームと連携するリーダーシップ・設計判断の機会が拡大
データ取得日: 2026/9/10