At a Glance
- Tasks: Design and optimise KDB+/q applications for real-time market data.
- Company: Leading global hedge fund with a focus on innovation.
- Benefits: Up to £260,000 salary, bonus, and exceptional benefits.
- Other info: Collaborate with elite engineers and quantitative professionals for career growth.
- Why this job: Build technology that directly impacts investment strategies in a high-performance environment.
- Qualifications: Degree in STEM and experience with real-time market data or trading systems.
- Up to
- £260,000
- + Bonus + Exceptional Benefits
The Opportunity
We're partnering with a leading global hedge fund seeking a
KDB+/q Developer to build next-generation research, analytics, and trading platforms.
You'll develop high-performance systems processing large-scale market data, supporting quantitative strategies across global markets.
Working alongside Quantitative Researchers, Portfolio Managers, and Traders, you'll build technology that directly impacts the firm's investment process.
What You'll Do
- Design and optimise KDB+/q applications for real-time market data.
- Build scalable infrastructure for research, analytics, and trading workflows.
- Partner with Quants and Traders to deliver production-ready solutions.
- Improve the performance, reliability, and scalability of core platforms.
Build critical systems from the ground up.
Work alongside elite engineers and quantitative professionals.
Take ownership and make a direct impact in a high-performance environment.
What We're Looking For
- Degree in Computer Science, Engineering, Mathematics, Physics, or another STEM discipline.
- Experience with real-time market data, time-series databases, or trading systems.
- Understanding of scalable, high-performance architectures.
- Strong analytical and problem-solving skills.
If you're looking to build the technology powering modern quantitative trading, we'd love to hear from you.
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KDB+/Q Engineer - Up to £260,000 + Bonus + Benefits (London) employer: Hunter Bond
Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.
StudySmarter Expert Advice🤫
We think this is how you could land KDB+/Q Engineer - Up to £260,000 + Bonus + Benefits (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hunter Bond!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like KDB+/Q Engineer - Up to £260,000 + Bonus + Benefits (London) at Hunter Bond.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hunter Bond.
✨Apply Directly through Our Website
When you find a suitable opening like KDB+/Q Engineer - Up to £260,000 + Bonus + Benefits (London) at Hunter Bond, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace KDB+/Q Engineer - Up to £260,000 + Bonus + Benefits (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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hunter Bond, 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 Hunter Bond. 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 Hunter Bond
✨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!
✨Showcase Your Projects
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 Hunter Bond!
✨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.
