At a Glance
- Tasks: Build and maintain cutting-edge data systems for quantitative research and trading.
- Company: Leading multi-strategy investment firm with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Ideal for engineers passionate about data platforms and performance.
- Why this job: Join a dynamic team and make a real impact in the finance tech space.
- Qualifications: Strong experience in data-heavy systems and excellent Python skills required.
The predicted salary is between 60000 - 80000 € per year.
A leading multi-strategy investment firm is hiring a Senior Engineer to join a front-office engineering team responsible for the core systematic data platforms used by quantitative research and trading. This role supports the systematic investment process end-to-end, sitting above basic reference data (e.g. SecMaster, prices) and closer to fundamental, derived, and alternative datasets that directly feed alpha research. The focus is on building robust, performant, and reproducible data systems rather than analytics or reporting. This is a software-first data engineering role. You'll be building production-grade systems that acquisition, model, store, and expose data to systematic researchers, with a strong emphasis on correctness, performance, and operational stability in a trading environment.
Responsibilities
- Build and maintain core systematic data systems used directly by quantitative researchers.
- Own ingestion, modelling, storage, and access layers for fundamental, derived, and alternative datasets.
- Design data models with a strong focus on point-in-time correctness, versioning, and reproducibility.
- Develop and operate data services, APIs, and research-facing interfaces.
- Ensure data quality, availability, and historical integrity across research and production workflows.
- Support both historical and real-time / near-real-time data where required.
- Work closely with systematic researchers to onboard new datasets and support research use cases.
- Contribute to performance, scalability, and long-term evolution of a production-critical data platform.
Required skills & experience
- Strong experience as a Senior Engineer working on production, data-heavy systems.
- Excellent Python skills, comfortable working across object-oriented and functional styles, with a solid grasp of design patterns.
- Strong software engineering fundamentals (clean code, system design, testing, CI/CD, version control).
- Proficiency in SQL and experience working with time-series or analytical data.
- Experience designing and operating production data platforms and services (not just ETL pipelines).
- Proficiency in at least one object-oriented language beyond Python (e.g. Java or C#).
- Comfortable working in Linux and cloud-based environments (AWS preferred).
- Prior exposure to systematic, quantitative, or front-office engineering environments is highly desirable.
Who this suits
- Engineers who think of data platforms as core software systems.
- People comfortable operating close to systematic alpha research without being researchers themselves.
- Candidates who care about correctness, performance, and reproducibility over dashboards or experimentation.
If you feel this role is a good match, apply today!
Senior Engineer - Systematic Data Platform (Hedge Fund) in London employer: Selby Jennings
As a leading multi-strategy investment firm, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our Senior Engineers play a crucial role in shaping the future of systematic data platforms, with ample opportunities for professional growth and development in a fast-paced trading environment. Located in a vibrant financial hub, we offer competitive benefits and a supportive atmosphere that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer - Systematic Data Platform (Hedge Fund) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in hedge funds or data engineering. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your experience with production data systems and Python.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common data engineering problems and be ready to discuss your thought process—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Engineer - Systematic Data Platform (Hedge Fund) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Engineer role. Highlight your experience with data-heavy systems and any relevant projects that showcase your Python and SQL expertise.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building robust data platforms. Share specific examples of how you've contributed to similar projects in the past, focusing on performance and correctness.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Mention specific technologies you’ve worked with, especially in production environments, and how they relate to the responsibilities outlined in the job description.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our front-office engineering team!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Systems
Make sure you understand the core systematic data platforms and how they support quantitative research and trading. Brush up on your knowledge of ingestion, modelling, storage, and access layers, as well as the importance of correctness and performance in a trading environment.
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in relation to object-oriented and functional programming. You might even be asked to solve a coding problem on the spot, so practice writing clean, efficient code that demonstrates your understanding of design patterns.
✨Discuss Your Experience with Data Platforms
Highlight your previous work with production data platforms and services, not just ETL pipelines. Be ready to explain how you've contributed to the performance, scalability, and long-term evolution of these systems, and how you ensure data quality and integrity.
✨Prepare for Technical Questions
Expect technical questions related to SQL, time-series data, and cloud environments like AWS. Brush up on your software engineering fundamentals, including system design and testing practices, as these will likely come up during the interview.
