Execution Trader

My client is a leading a quantitative hedge fund, which engages in systematic, process-driven proprietary trading. The firm builds automated trading strategies aimed at capturing market inefficiencies across various markets and asset classes from a few milliseconds to longer term both pure arbitrage or statistical in nature. The team has an extensive history of successfully running quantitative trading strategies for more than a decade, and had spun out as a Hedge Fund.

They operate at the intersection of trading, quantitative modelling, and technology and roles are therefore highly interdisciplinary. They trade on state-of-the‑art infrastructure to handle their large trading volumes with offices globally.

They are looking to add a Trader to their Quant Execution Analytics (QEA) team. The team manages the central high‑touch execution ecosystem across asset classes, and you will be responsible for interfacing with traders, execution quants, external counter parties and other internal stakeholders on designing and improving the execution processes, as well as onboarding new products to trade. If you are looking to join a fast paced, ever‑evolving environment, I encourage you to apply.

• Collaborate with strategists to understand requirements and onboard new flows into the High‑Touch execution pipeline
• Collect market intelligence and analyze market microstructures
• Review transaction costs and recommend trading improvements in coordination with traders and quantitative developers
• Liaise with dealers and external platforms (Tradeweb, Bloomberg, etc.)
• Promote and enforce best trading practices on the High‑Touch desk

• 1‑4 years of experience in a High‑Touch execution role

• Proficiency in Python and/or KDB
• Strong analytical and communication skills
• Familiarity with transaction cost analysis (TCA)
• Experience with project management tools and methodologies
• Git/Jupyter skills are a plus
• Ability to work closely with trading desks and understand detailed market structures