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 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
✨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 open doors and give you insights that might just land you that interview.
✨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 and be ready to discuss your experience with ingestion, modelling, and storage of datasets. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Data Platform Engineer - Systematic Trading Core
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, focus on your experience with production data systems. We love seeing specific examples of how you've built or improved data ingestion, modelling, and storage processes.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through 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. Plus, it makes the whole process smoother for everyone involved.
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 want to see that you can not only code but also understand the underlying principles of data engineering.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've built robust data systems in the past. Think about times when you had to ingest, model, or store diverse datasets. Being able to articulate your thought process and the impact of your work will impress the interviewers.
✨Understand the Business Context
Familiarise yourself with the trading landscape and how data plays a role in quantitative research. Showing that you understand the business side of things will set you apart from other candidates. It’s not just about the tech; it’s about how it drives results in trading.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team and the projects they’re working on. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Ask about their current challenges with data systems or how they envision the future of their data strategy.
