Execution Research Lead

Durlston Partners; Greater London; On-site; GBP 120,000 - 210,000; Full time

Job summary

Durlston Partners is seeking a Quantitative Researcher to spearhead its execution research function in London. You will be the first dedicated hire in this area and shape execution strategies and infrastructure.

You will lead research efforts to develop and optimize order execution, build market impact models, and work with other researchers to drive initiatives. Crypto trading context adds a frontier element to the role.

Qualifications

• 2–8 years in quantitative trading and execution research (role-specific).
• Strong background in market microstructure analysis and transaction cost analysis (TCA).
• Proficiency in Python; C++ knowledge is a plus.

Responsibilities

• Lead and define execution research; establish strategies and infrastructure.
• Create and enhance execution strategies; optimize order placement to reduce slippage.
• Develop market impact models and validate backtesting engines.
• Collaborate with researchers to drive execution initiatives.

Skills

Python

C++

Market microstructure

Transaction cost analysis

Order execution

Education

Advanced quantitative degree

Tools

Backtesting engines

Job description

Overview

A top Crypto Quant fund (backed by TradFi) is looking to hire a Quantitative Researcher to spearhead their Execution research function. This is a unique opportunity to be the first dedicated hire in this area, with the potential to shape and lead execution strategies and infrastructure.

Responsibilities

• Lead and define execution research efforts; establish and advance execution strategies and infrastructure.
• Create and enhance execution strategies and optimize order placement to reduce slippage.
• Develop market impact models and validate backtesting engines.
• Collaborate with researchers to drive execution research initiatives.

Qualifications

• 2-8 years in quantitative trading and execution research (role-specific experience).
• Strong background in market microstructure analysis and transaction cost analysis (TCA).
• Proficiency in Python; C++ knowledge is a plus.
• Experience with utility function design, rules-based logic for order execution, and multi-period optimization preferred.
• Advanced degree in a quantitative field (e.g., Mathematics, Physics, Computer Science).
• Crypto trading experience is a plus.