Execution Trader
Anson McCade
Vacancy detail
Execution Trader
100,000 GBP
+Disc bonus
Onsite WORKING
Location: Central London, Greater London – United Kingdom Type: Permanent
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 both a Trader and Researcher profile 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 counterparties 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.
Key Responsibilities:
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
Role Requirements:
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
Reference: AMC/AHU/NW/EXT01
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