Quantitative Analyst, European CLB

Quantitative Analyst, European CLB

Posted 61 Days Ago

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