At a Glance
- Tasks: Enhance market data optimisation by building scalable data tools and automating workflows.
- Company: Join Selby Jennings, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, exposure to AI solutions, and a dynamic team environment.
- Other info: Great opportunities for career growth and learning in a high-impact team.
- Why this job: Make a real impact in financial services while working with cutting-edge technology.
- Qualifications: 3-8 years in data operations, strong Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Selby Jennings is seeking a Python Developer in London to enhance their market data optimisation function. You'll work in a lean, high-impact team and focus on building scalable data tooling, improving data pipelines, and driving automation across workflows.
The role requires:
- 3-8 years of experience in data operations or engineering within financial services
- Strong Python and SQL skills
- Knowledge of market data structures
This position offers opportunities for exposure to AI/LLM-driven solutions.
Market Data AI & Automation Engineer in London employer: Selby Jennings
At Selby Jennings, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of London. Our team is dedicated to professional growth, offering ample opportunities for skill development in cutting-edge technologies like AI and automation, while also ensuring a supportive environment where your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data AI & Automation Engineer in London
✨Get Involved in Data Science Meetups
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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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How to prepare for a job interview at Selby Jennings
✨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.
