At a Glance
- Tasks: Join our team to develop and enhance real-time analytics using kdb+.
- Company: MARGO, a human-sized consultancy in London with a focus on innovation.
- Benefits: Flexible assignments, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on performance and collaboration.
- Why this job: Make an impact in real-time data analytics while working with industry experts.
- Qualifications: Hands-on kdb+ experience and a background in data platforms or hybrid development.
The predicted salary is between 60000 - 80000 £ per year.
MARGO is seeking a kdb+ specialist to join our real-time data and analytics platforms team in London.
You will work on kdb+ / q development, time-series datasets, and performance-focused improvements, collaborating with Front Office, Risk and Surveillance users.
This open role welcomes candidates with hands-on kdb+ experience, data platform support or hybrid development/BA backgrounds, offering flexible dev, support and analytics assignments within a human-sized consultancy.
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KDB+ Real-Time Analytics Engineer in London employer: Margoconsulting
Margoconsulting is an excellent employer for those looking to thrive in a dynamic and innovative environment within the finance sector. With a strong emphasis on collaboration, employees benefit from a culture that encourages rapid development and direct interaction with industry professionals, fostering both personal and professional growth. Located in a vibrant financial hub, the company offers unique opportunities to work on impactful projects that shape the future of trading technology.
StudySmarter Expert Advice🤫
We think this is how you could land KDB+ Real-Time Analytics Engineer in London
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We think you need these skills to ace KDB+ Real-Time Analytics Engineer 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 Margoconsulting, 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 Margoconsulting. 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 Margoconsulting
✨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
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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.
