At a Glance
- Tasks: Design and optimise high-performance data platforms using kdb+ for multi-asset analytics.
- Company: Join State Street's innovative BestX team with a focus on cutting-edge technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with quants and engineers to drive design decisions and promote clean code.
- Why this job: Make a real impact by delivering robust, scalable solutions in a dynamic environment.
- Qualifications: 5+ years in kdb+ development, Python, q, and AWS experience required.
The predicted salary is between 75600 - 92400 £ per year.
State Street's Best X team is seeking a Senior kdb+ Developer to design, build and optimise high‑performance data platforms using kdb+.
You will support multi‑asset analytics and work with quants and engineers to deliver robust, scalable solutions.
The role requires 5+ years in kdb+ development, Python and q, plus hands‑on experience with AWS.
You will drive design decisions, promote clean code, and contribute to CI/CD, data modelling, and low‑latency ingestion pipelines.
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Senior kdb+ Architect & VP, High-Performance Analytics employer: State Street
At State Street, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our BestX team provides ample opportunities for professional growth, with access to cutting-edge technology and a commitment to employee development. Located in a vibrant area, we offer competitive benefits and a supportive environment where your contributions directly impact our high-performance analytics solutions.
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We think this is how you could land Senior kdb+ Architect & VP, High-Performance Analytics
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We think you need these skills to ace Senior kdb+ Architect & VP, High-Performance Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at State Street. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
