At a Glance
- Tasks: Own the reference data layer for trading decisions and build robust data pipelines.
- Company: Join a leading proprietary trading firm with a global presence.
- Benefits: Guaranteed bonus, sign-on, and hybrid working in London.
- Other info: Collaborative team culture with opportunities for growth in finance and technology.
- Why this job: Make an impact in a fast-paced environment at the intersection of engineering and trading.
- Qualifications: Expertise in Python or C++, with experience in building reference data systems.
The predicted salary is between 70000 - 90000 £ per year.
McGregor Boyall are working with one of the world's largest proprietary trading firms: a market maker active across 70+ exchanges globally. They're hiring a Software Engineer to own the reference data layer that sits beneath every trading decision the firm makes. You'd be setting technical direction for a platform spanning financial instruments, corporate actions, market calendars, and alternative datasets: working across asset classes, in a low-latency environment where data correctness isn't just good practice, it's P L-critical.
The stack leans on C++ and Python, and the challenge is building pipelines robust enough to handle the complexity of real-world upstream sources without compromising the quality that high-frequency strategies demand. The team sits at the intersection of engineering, trading, and research. Offering guaranteed bonus and sign-on, hybrid working from London (candidates need to be in-office 3 days per week).
Required skills:
- Expertise in either Python or C++ (both is great)
- Proven experience designing and building reference data or security master systems from scratch. We're not looking for people who have only consumed or maintained these systems
- Good experience with data modelling
- Prior experience working within market data teams within a leading financial institution
Market Data Engineer employer: McGregor Boyall
As a leading proprietary trading firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With a focus on professional growth, we offer extensive training opportunities and the chance to work alongside industry experts in a collaborative environment. Located in London, our hybrid working model ensures a balanced approach to work-life integration while providing competitive bonuses and a stimulating atmosphere for those passionate about market data engineering.
