Responsibilities
- Review and refine client trading behavior using large‑scale data and compute to identify new opportunities and maximize performance.
- Collaborate closely with research, engineering, and front‑office teams to implement improvements, respond to external changes, and identify new opportunities across a global client trading platform.
- Perform post‑trade analysis in Python using large‑scale data and compute.
- Implement performant production C# code in the trading platform and monitor changes in the real‑world.
- Prioritize and deliver medium‑term strategic projects and short‑term urgent tasks with pragmatic decision‑making to deliver commercial value.
Qualifications
- Experience solving quantitative problems at pace, with a strong track record demonstrated through practical projects, internships or full‑time employment.
- Appreciation of market microstructure and algorithmic order placement behaviour.
- Strong coding skills, ideally Python and C#, but other languages are welcome.
- Ability to question the status quo and drive improvement and changes.
- Strong interest in finance and the motivation to rapidly learn and deliver.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch (via Just Eat for Business) and dedicated barista bar.
- 35 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
#J-18808-Ljbffr…
