The
Quantitative Analyst, European CLB will play a key role in supporting trading, development and research of the EMEA Central Liquidity Book.



This position is focused on intraday monitoring and management of CLB inventory, and medium-term projects to enhance the platform.



The ideal candidate will work closely with the global CLB team, the European trading desk, technology, compliance, and operations/support teams. This position is aligned to European business hours and requires a
London-based candidate.




Responsibilities:




Tooling, Monitoring, & Automation

• Drive automation of existing manual processes, working with team members to identify opportunities and implement solutions that enhance efficiency and control.

• Support day-to-day trade monitoring activities, ensuring timely identification and resolution of issues, escalating as needed.




Execution Oversight

• Partner with portfolio managers and senior team members to understand trading workflows and assist in optimizing order execution and liquidity provision.

• Help maximize CLB usage by building out new features or functionalities

• Ensure alignment with regulatory expectations and internal compliance standards.




Teamwork & Culture

• Serve as an integral member of the CLB/Trading teams, contributing to a culture of accountability, transparency, and continuous improvement.

• Participate in knowledge sharing, and process documentation to support team growth and operational excellence.




Requirements:

• Possess an understanding of market impact, risk models, and alpha signals and how to balance the three using an optimizer


• Have experience on pricing, hedging and managing risk


• Familiarity with the European trading landscape, market structure, liquidity


• Knowledge of execution algorithms

• Bachelor's degree in a quantitative or related field.


• 3+ years of experience in trading related roles within financial services


• Strong analytical, problem-solving, and communication ability


• Proficiency in Python, KDB, SQL


• Experience using AI to automate processes