At a Glance
- Tasks: Design and enhance KDB+/q applications for real-time trading and research.
- Company: Leading global investment firm with a cutting-edge technology team.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate with world-class engineers and traders in a fast-paced setting.
- Why this job: Join a high-performance team and make a direct impact on trading success.
- Qualifications: Experience with KDB+/q, Python, and financial market data.
The predicted salary is between 54000 - 66000 £ per year.
A leading global investment firm is seeking a talented KDB+ Engineer to join its high-performance technology team in London. This is an opportunity to work at the heart of a cutting-edge trading environment, building and optimising the real-time data platforms that power systematic trading, quantitative research, and investment decision-making across global markets. You'll work alongside world-class engineers, quantitative researchers, and traders, helping to develop highly scalable KDB+/q solutions that process vast amounts of market data with a focus on performance, reliability, and innovation. This role is ideal for someone who enjoys solving complex technical challenges, working in a fast-paced environment, and having a direct impact on the success of a sophisticated trading business.
What You'll Be Doing
- Designing, building, and enhancing KDB+/q applications that underpin real-time trading and research systems
- Developing and maintaining critical market data infrastructure across trading, analytics, risk, and compliance functions
- Creating APIs, schemas, and data models that support trading platforms, quantitative research workflows, and simulation environments
- Optimising system performance, scalability, resilience, and latency across large-scale data platforms
- Partnering closely with traders, quantitative researchers, and software engineers to deliver high-impact technology solutions
- Investigating production issues and ensuring the robustness of business-critical trading applications
- Driving continuous improvements to platform architecture, tooling, and engineering standards
What We're Looking For
- Strong commercial experience with KDB+/q
- Proficiency in Python and its application within data-intensive environments
- Solid Linux/Unix systems knowledge
- Experience working with financial market data and real-time trading systems
- Strong problem-solving abilities and a passion for building high-performance systems
- Excellent communication skills with the ability to collaborate across technology and front-office teams
KDB+/q Developer in London employer: Selby Jennings
Selby Jennings is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from extensive growth opportunities, competitive compensation, and a supportive environment that encourages professional development, making it an ideal place for those looking to make a meaningful impact in the finance technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land KDB+/q Developer in London
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We think you need these skills to ace KDB+/q Developer in London
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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Craft a Tailored Cover Letter:For a full-time role at Selby Jennings, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Selby Jennings. 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!
How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Selby Jennings!
✨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.
