KDB Developer – Quantitative Investment Strategies
4 days ago
Overview
The KDB Developer - Quantitative Investment Strategies plays a critical role in the organization by creating and maintaining database solutions that directly support quantitative analysis and trading strategies. This position is vital as it ensures that accurate, timely, and reliable data is available for algorithmic trading, risk management, and investment decision-making processes. The ideal candidate will possess expert knowledge of KDB/Q programming and a robust understanding of quantitative finance principles. They will collaborate closely with quantitative researchers and traders to identify data needs, streamline data ingestion processes, and implement efficient querying solutions. By optimizing performance and implementing best practices in data handling, this role significantly enhances the organization&aposs ability to react swiftly to market changes and leverage investment opportunities. Furthermore, this position requires strong technical capabilities balanced with analytical thinking, making it an integral part of the quantitative investment team.
Key Responsibilities
- Manage & optimize a large tick-based KDB+ plant and APIs
- Design efficient q queries to meet analytical goals
- Collaborate with global teams and strategists to deliver real-time, commercial data solutions
- Participate in full SDLC: design, build, deploy, and scale systems
Skills
- Experience with data engineering & real-time systems
- KDB+ / q knowledge preferred
- Exposure to Python, SQL, and Java is a plus
- Financial domain knowledge (Equity Derivatives) is a bonus
- Strong communication & agile mindset
Skills: real-time systems,python,java,kdb,equity derivatives,kdb+,quantitative investment strategies,data engineering,q programming,api,sql proficiency,sql
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