Snr. Quant Cash Equities Execution (London Area)

My client, a T1 Investment bank with a renowned Electronic Execution team within the Cash Equities division are looking for an experienced Quantitative Researcher to join them.

In this role, you will play a critical part in shaping and advancing their electronic trading capabilities. You’ll collaborate with colleagues globally to share insights, improve platform interfaces, and ensure adherence to best practices.

You’ll be responsible for leading key projects from start to finish, including designing and implementing new models and supporting the full platform lifecycle. You’ll also drive enhancements to our trading algorithms and deliver robust, high-quality solutions that keep us at the forefront of electronic execution.

Key Responsibilities:

• Drive and champion electronic execution initiatives within the Cash Equities team, fostering collaboration across global teams.
• Lead the development and deployment of new trading models and algorithmic solutions.
• Enhance and refine existing algorithms, adding new features and improving performance.
• Design and build analytic and implementation approaches, including system architecture and interfaces.
• Develop, test, and maintain high-quality C++, R, and Python code for new and existing tools.
• Create and support analytic tools for both team and business-wide use.
• Provide technical leadership and guidance, especially for complex issues requiring deep expertise and advanced analysis.
• Act as a mentor and escalation point for junior team members.

The ideal candidate will have:

• An Master's level or above education in a quantitative discipline or a PhD in a scientific or engineering field with a strong interest in financial modelling.
• Deep understanding of Cash Equities trading products and market microstructure.
• Proven experience developing code in C++, R, and Python.
• Strong quantitative and analytical skills, with a background in numerical techniques and machine learning (both supervised and unsupervised).