Trader, Execution Services

Our client is a prestigious global trading firm renowned for its leadership in market-making and execution excellence. Leveraging cutting-edge technology, the firm handles massive trade volumes across asset classes, delivering innovative solutions to the financial markets. The Execution Services team is seeking a skilled Trader to join their high-performance environment and contribute to their mission of driving efficiency and precision in trading.

The Role:
As a Trader on the Execution Services team, you will manage retail flow received via brokers, ensuring seamless execution of high-volume trades through a sophisticated algorithm. This role blends technical precision with commercial savvy, requiring you to handle exceptions manually, engage directly with brokers, and master the complexities of advanced trading systems.

Key Responsibilities:

• Oversee retail flow trades executed via a high-volume algorithm, ensuring optimal performance and efficiency.
• Manually execute exception orders (e.g., large or nuanced trades), using sound judgment to achieve superior results.
• Gain a deep understanding of the execution algorithm and its integration with surrounding systems to troubleshoot and enhance workflows.
• Serve as a key contact for brokers, addressing questions, resolving issues, and fostering strong professional relationships.
• Work collaboratively to solve problems, using tools like Python and SQL to analyze data or improve processes.
• Proactively explore how systems and processes interconnect, contributing insights to refine execution strategies.

What Were Looking For:

• A technical thinker with a passion for unraveling complex systems and understanding how they fit together.
• Experience in trade execution or a similar role within a high-volume trading environment (familiarity with execution algorithms is a plus).
• Ability to thrive in a fast-paced setting, making informed decisions under pressure.
• Strong interpersonal skills and a commercial mindset to liaise effectively with brokers.
• Knowledge of Python and/or SQL is advantageous candidates should be eager to engage with technical challenges.