Overview
In this role, you will support the Quant Execution Analytics (QEA) team by shaping and improving the central high-touch execution process across asset classes. You will partner with traders, execution quants, and external counterparties to design onboarding flows for new products and optimize execution workflows. You help reduce trading costs and enhance process quality while promoting best practices on the High-Touch desk. This fast-paced environment rewards hands-on collaboration, technical rigor, and impact on cross-asset execution quality.
Responsibilities
- Collaborate with strategists to onboard new flows into the High-Touch execution pipeline
- Collect market intelligence and analyze market microstructures
- Review transaction costs and propose trading improvements 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
Key requirements
- 2–4 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
- strong analytical capability
- clear communication
- stakeholder collaboration
- Python
- KDB
- transaction cost analysis (TCA)
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