At a Glance
- Tasks: Work on kdb+ platforms for real-time data and analytics.
- Company: Join MARGO, a tech-native consultancy in London.
- Benefits: Flexible roles, close support, and tailored career paths.
- Other info: Great opportunities for growth in a human-sized consultancy.
- Why this job: Make an impact in trading and risk environments with cutting-edge technology.
- Qualifications: Hands-on experience with kdb+ and strong analytical skills required.
The predicted salary is between 59400 - 72600 £ per year.
- KDB+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA)
- Join MARGO in the UK (London) – Perm & Contracting Opportunities
MARGO is a tech-native consultancy delivering high value-added IT expertise to the financial services industry.
We specialise in data-intensive trading and risk environments where real-time analytics, large data volumes and performance are critical.
Our consultants work on platforms that capture, process and analyse high-frequency and intraday data used by Front Office, Risk and Surveillance teams.
Joining MARGO means working on highly specialised data platforms, while benefiting from a human-sized structure, close follow-up and tailored career paths.
Business Context
You will work within trading, risk or data technology environments built around kdb+ platforms.
These platforms typically support
- real-time and intraday market data
- P&L and risk analytics
- monitoring and surveillance
- reporting and analytical workflows
The role sits close to business users and requires strong ownership of data quality, performance and platform behaviour.
Role Overview
We are looking for kdb+ Specialists to work on real-time data and analytics platforms.
- This role is intentionally open and may suit profiles with a background in:
- kdb+ / q development
- data platform support
- technical business analysis
- or hybrid roles combining development, support and analysis
What matters most is strong kdb+ and data platform expertise, performance awareness and business proximity.
Key Responsibilities
- Platform & Data Ownership
- Work on kdb+ platforms supporting real-time and intraday analytics
- Ensure data quality, consistency and availability
- Investigate and resolve data or performance issues
- Support business users relying on analytics and reports
- Participate in platform upgrades and releases
- Development & Analytics
- Develop and optimise q code, queries and analytics
- Work on time-series data models and schemas
- Improve platform performance and scalability
- Develop new datasets, metrics and analytical views
- Business Interaction & Analysis
- Work closely with Front Office, Risk or Surveillance users
- Understand analytical and reporting needs
- Translate business requirements into kdb+ solutions
- Support testing, validation and delivery phases
- Technical Environment
- Core Technologies
- kdb+ / q
- Time-series and real-time data architectures
- Linux / UNIX environments
- Scripting and automation
- Valued Technical Exposure
- Market data systems
- Trading or risk analytics
- SQL or other data query languages
- Integration with upstream/downstream systems
- Required Experience & Skills
Essential
- Hands-on experience with kdb+ / q
- Experience working with large volumes of time-series data
- Strong performance and optimisation mindset
- Ability to work close to business users
- Strong analytical and problem-solving skills
- Ownership and production awareness
- Valued (but not restrictive)
- Development or data engineering background
- Application or data platform support experience
- Business analysis experience in data-driven environments
- Exposure to Front Office or Risk teams
- Why Join MARGO
- Access to niche kdb+ data and analytics platforms
- High-impact roles close to trading and risk activity
- Flexibility across dev, support and BA-type assignments
- Strong emphasis on data and platform expertise
- Human-sized consultancy with close support and long-term career focus
Please note - We do not offer visa sponsorship for this position.
- Interested? Motivated? Apply on our website or at staff. uk@margo. com
- #J-18808-Ljbffr
kdb+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA) employer: MARGO
MARGO is an exceptional employer for those seeking to make a significant impact in the financial services sector, particularly within the dynamic realm of Fixed Income Algo Trading. With a focus on real-time analytics and a supportive, human-sized consultancy culture, employees benefit from tailored career paths, flexible exposure to various roles, and a collaborative environment that fosters rapid feedback and growth opportunities. Located in London, MARGO offers a unique chance to work closely with traders and production teams, ensuring that your contributions directly influence trading and risk management strategies.
StudySmarter Expert Advice🤫
We think this is how you could land kdb+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA)
✨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 MARGO!
✨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+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA) at MARGO.
✨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 MARGO.
✨Apply Directly through Our Website
When you find a suitable opening like kdb+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA) at MARGO, 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+ Specialist – Real-Time Data & Analytics Platforms (Dev / Support / BA)
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 MARGO, 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 MARGO. 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 MARGO
✨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 MARGO!
✨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.
