Senior kdb+ Quantitative Developer

Senior kdb+ Quantitative Developer

Posted 1 week ago by A1X on Linkedin

Negotiable
Undetermined
Hybrid
Greater London, England, United Kingdom

Summary: The Senior kdb+ Quantitative Developer role at a proprietary trading firm in London focuses on developing a real-time, cloud-based quantitative analysis pipeline for cryptocurrency derivatives. The position involves building scalable kdb+/q components, collaborating with quantitative researchers, and contributing to the overall infrastructure and architecture of the firm's trading systems. Candidates should possess strong quantitative finance knowledge and extensive experience with kdb+/q programming. This role offers a unique opportunity to work in a greenfield environment with a driven team.

Key Responsibilities:

  • Pipeline Development: Build scalable, secure, and reliable KDB+/q components for data management.
  • Quantitative Model Development: Translate backtested models into production-grade code for high-frequency trading.
  • Infrastructure Development: Contribute to the development lifecycle of cloud-based applications and deployment systems.
  • Architectural Assistance: Collaborate with the CTO to enhance pipeline architecture and system design.
  • Cross-Team Technical Alignment: Ensure project alignment with business needs and support seamless integration.
  • General Maintenance & Tasks: Monitor and improve existing systems, including code reviews and documentation.
  • Database Integrity: Develop solutions to ensure data quality and accessibility.

Key Skills:

  • Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field.
  • 5+ years of professional experience with kdb+/q programming for real-time financial applications.
  • Strong foundation in financial mathematics, stochastic processes, and time-series modeling.
  • Experience with models like GARCH, SVI, and ARIMA.
  • Expertise in HPC, networking, and low-level programming.
  • Familiarity with AWS ML and modern data science tools (Python, Jupyter, pandas, numpy).
  • Knowledge of risk management, hedging strategies, and cryptocurrency markets.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT