Delivering high-performance, scalable solutions for data-intensive financial institutions at DI
Requirements
- 5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
- Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
- Strong background in Unix/Linux environments and scripting.
- Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
- Exposure to tick data, real-time analytics, or electronic trading systems.
Responsibilities
- Lead technical delivery on client projects, setting the standard for quality and performance.
- Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
- Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
- Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
- Drive innovation by staying ahead of the curve in kdb+, q, and adjacent technologies.
- Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.
Other
- Excellent communication skills—you can explain complex systems to both technical and non-technical stakeholders.
- Experience in capital markets or investment banking—you understand the domain and its demands.
- A passion for clean, performant code and continuous improvement.
- People management or team leadership experience.
- Demonstrated technical leadership and decision-making in fast-paced projects.
