Senior Data Engineer Quantitative Trading

1 week ago


London, Greater London, United Kingdom JJA - James Joseph Associates Full time

THE ROLE: Exciting Opportunity for Senior Data Engineer in Quantitative Trading

This role empowers you to create innovative solutions tailored to meet the needs of front office clients, ultimately boosting profitability. The company offers a competitive salary package and attractive bonuses.

  • Collaborate with Quantitative Research and Trading teams to understand their data requirements.
  • Develop advanced event-driven datasets using live trading and market data for near real-time insights.
  • Design solutions for efficient extraction of valuable insights from collected market data.
  • Integrate with external APIs to access crucial data like market information and trade details.
  • Work closely with other teams to implement best practices for utilizing the data platform.
  • Maintain essential databases for seamless data operations.
  • Contribute significantly to product design, implementation, and quality assurance.
  • Identify and execute enhancements to data collection, storage, and analysis processes.
  • Collaborate with various teams to develop analytical datasets for business needs.
  • Create informative dashboards using Business Intelligence tools to present data effectively.

SKILLS / EXPERIENCE REQUIRED: Senior Data Engineer in Quantitative Trading

  • Significant experience in data engineering within front-office settings on either buy-side or sell-side platforms.
  • Proficient in Core Java programming language.
  • Skilled in building event-driven applications using Kafka.
  • Highly adept in SQL and relational data modeling.
  • Hands-on experience with REST and WebSocket APIs.
  • Proven track record in high-frequency, systematic, or electronic trading systems.
  • Passionate about data analytics with in-depth knowledge of order book mechanics and book-building techniques.
  • Knowledge of databases, including MySQL and ClickHouse.
  • Familiarity with cloud environments like AWS or GCP.

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