Senior KDB Developer: Global eTrading, Hybrid London

Senior KDB Developer: Global eTrading, Hybrid London

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
C

At a Glance

  • Tasks: Develop and enhance a high-performance eTrading platform using kdb+.
  • Company: Join a leading firm in the finance tech space with a collaborative culture.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Ideal for those seeking to work in a dynamic and innovative environment.
  • Why this job: Make an impact in the fast-paced world of eTrading analytics.
  • Qualifications: Strong kdb+ expertise, statistical knowledge, and experience with large datasets.

The predicted salary is between 70000 - 90000 £ per year.

Delta Capita is seeking a professional for a client-facing role to develop and enhance a high-performance eTrading MI and Analytics platform located in London on a hybrid basis. The role requires strong expertise in kdb+ and involves collaboration with quantitative teams to deliver effective solutions.

Candidates should have a good grasp of statistical concepts, experience with Test-Driven Development, and the ability to handle large-scale datasets. A valid working permit for the UK is mandatory.

Senior KDB Developer: Global eTrading, Hybrid London employer: careersdeltacapita

Delta Capita is an exceptional employer that fosters a dynamic and collaborative work culture, particularly for the Senior KDB Developer role in London. With a strong emphasis on employee growth and development, we offer opportunities to work alongside talented quantitative teams while contributing to cutting-edge eTrading solutions. Our hybrid working model ensures a balanced approach to work-life integration, making Delta Capita a rewarding place to advance your career.

C

Contact Details:

careersdeltacapita Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior KDB Developer: Global eTrading, Hybrid 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 careersdeltacapita!

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 Senior KDB Developer: Global eTrading, Hybrid London at careersdeltacapita.

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 careersdeltacapita.

Apply Directly through Our Website

When you find a suitable opening like Senior KDB Developer: Global eTrading, Hybrid London at careersdeltacapita, 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 Senior KDB Developer: Global eTrading, Hybrid London

kdb+
eTrading MI and Analytics
Statistical Concepts
Test-Driven Development
Large-Scale Datasets
Collaboration
Client-Facing Skills

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 careersdeltacapita, 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 careersdeltacapita. 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 careersdeltacapita

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 careersdeltacapita!

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.