Quantitative Analyst

Overview

In this role you will perform post-trade analysis on large data sets and implement production-grade C# code within a global trading platform. You will collaborate with Research, Engineering and Front Office teams to identify opportunities and improve performance, guided by data-driven insights.

You’ll work across medium-term strategic projects and urgent tasks, balancing depth with speed to deliver tangible commercial value. This role sits at the intersection of research and production, powered by scalable compute and a culture of thoughtful experimentation.

You will help shape how the platform evolves and scales with the team’s most powerful ideas.

Pay / Benefits

• Highly competitive compensation
• annual discretionary bonus
• Lunch provided
• 35 days’ annual leave
• 9% company pension contributions
• Comprehensive healthcare and life assurance

Responsibilities

• Review and refine client trading behaviour to uncover opportunities and maximise performance
• Collaborate with Research, Engineering and Front Office to implement improvements across a global trading platform
• Perform post-trade analysis in Python using large-scale data and compute
• Develop and deploy production-grade C# code within the trading platform and monitor changes in real-world use
• Tackle medium-term strategic projects and short-term urgent tasks with prioritisation and pragmatic delivery for commercial impact

Key requirements

• Quantitative experience in a fast-paced environment with a proven performance track record
• Understanding of market microstructure and algorithmic order placement behaviour
• Strong coding skills in Python and C#, with openness to other languages
• Ability to challenge status quo and drive improvements
• Genuine interest in finance and rapid learning ability
• Attention to detail
• Strong written and verbal communication
• Collaborative mindset and cross-functional teamwork
• Python
• C#
• large-scale data analysis

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