At a Glance
- Tasks: Build robust data systems for quantitative research and trading.
- Company: Selby Jennings, a leading firm in front-office engineering.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Exciting role in Greater London with a focus on real-time data.
- Why this job: Join a cutting-edge team and make an impact in systematic trading.
- Qualifications: Strong Python and SQL skills with experience in production data systems.
The predicted salary is between 70000 - 90000 € per year.
Selby Jennings is seeking a Senior Engineer for a front-office engineering team in Greater London. The role focuses on building robust data systems that serve quantitative research and trading. You will work on ingestion, modeling and storage of diverse datasets, supporting both historical and real-time data.
Ideal candidates will have:
- Strong Python and SQL skills
- Experience with production data systems
- A software engineering background, particularly in systematic or quantitative environments
Senior Data Platform Engineer - Systematic Trading Core in London employer: Selby Jennings
At Selby Jennings, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages professional development. Join us to be part of a forward-thinking team where your contributions directly impact our cutting-edge data systems in systematic trading.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Systematic Trading Core in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in systematic trading or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data systems knowledge. Practice coding challenges related to data ingestion and modelling, as well as system design questions that might come up during the interview.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Platform Engineer - Systematic Trading Core in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, especially in data systems or quantitative environments.
Tailor Your Experience:When writing your application, tailor it to the role. We’re looking for someone with a solid background in systematic trading, so mention any relevant projects or experiences that align with this focus.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with production data systems and how you've tackled challenges in systematic or quantitative environments. They’ll likely ask for specific examples, so have a few stories prepared.
✨Understand the Role and Company
Do your homework on Selby Jennings and their front-office engineering team. Familiarise yourself with their approach to building robust data systems and how they support quantitative research and trading. This will show that you're genuinely interested and can align your skills with their needs.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and understanding of data ingestion, modelling, and storage. Practice coding problems related to data systems and be ready to explain your thought process clearly. It’s not just about getting the right answer; it’s about how you approach the problem.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technologies they use, or how they measure success in their data systems. This shows your enthusiasm for the role and helps you gauge if it’s the right fit for you.
