At a Glance
- Tasks: Collaborate on finance projects, develop clean code, and analyse large-scale data.
- Company: Join Data Intellect, a leading consultancy in capital markets.
- Benefits: Enjoy hybrid working, professional development, and global opportunities.
- Other info: Inclusive culture with clear progression pathways and exciting social events.
- Why this job: Deepen your kdb+ skills and make a real impact in finance.
- Qualifications: 2+ years of kdb+ experience and strong problem-solving skills.
At Data Intellect, it’s never just about data or technology. These are our tools. What drives us is human intellect, collaboration, and solving the most complex challenges in finance and beyond.
We live by the [DI] code: We are Problem Solvers who are Humble, have a Can-do Attitude, and believe in Togetherness. If you’re a kdb+ developer ready to deepen your skills, contribute to impactful projects, and grow in a supportive, high-performance environment - this is your opportunity.
What You’ll Be Doing:
- Collaborating with business users to define new application requirements.
- Developing, testing, and maintaining clean, performant code for client applications.
- Supporting project delivery alongside Project Managers and senior developers.
- Working as part of a close-knit team to deliver solutions on time and on budget.
- Analysing large-scale time-series data and generating actionable reports.
- Mentoring junior developers and contributing to a culture of learning.
What You Bring:
- 2+ years of hands-on kdb+ development experience.
- Solid understanding of q language and time-series data structures.
- Experience working in Unix/Linux environments.
- Strong logical thinking and problem-solving skills.
- Familiarity with software development methodologies and the SDLC.
- Comfortable working independently and collaboratively within a team.
- Excellent client-facing communication skills.
- Prior experience of working in Capital Markets/Investment Banking is a plus but not essential.
Bonus Skills (Not Required):
- Experience in Capital Markets or Investment Banking.
- Knowledge of Python, cloud platforms, or other time-series databases.
- Exposure to project leadership or people management.
- Contribution to internal tools, documentation, or community initiatives.
Why Join Data Intellect?
- Hybrid & flexible working – balance your time between home and our global offices.
- Professional development – access to paid training in technical and leadership skills.
- Clear progression pathway – biannual promotion cycles and monthly 1:1s with your People Leader.
- Global opportunities – work with teams in Belfast, London, New York, Hong Kong, Singapore and Toronto.
- Healthcare & wellbeing – provider dependent on region.
- Referral bonuses, social events, and more – we work hard and celebrate harder.
Data Intellect is a specialist data and technology consultancy with deep roots in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, data engineering, regulatory tech, and enterprise platforms and we’re growing fast.
We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
Ready to grow your kdb+ career with us? Challenge Accepted. Apply now.
Developer (Finance) in London employer: Data Intellect
At Data Intellect, we pride ourselves on fostering a collaborative and innovative work culture that values problem-solving and humility. As a Remote kdb+ Developer, you'll not only contribute to cutting-edge trade surveillance solutions but also benefit from mentorship opportunities and a supportive team environment that encourages personal and professional growth. Join us in a role where your contributions are valued, and you can make a meaningful impact in the financial technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Developer (Finance) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Data Intellect or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Data Intellect.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Data Intellect.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Data Intellect that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Developer (Finance) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data Intellect.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Intellect and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Data Intellect
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data Intellect uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
