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Monthly
€193
Posted May 1, 2026 · 120 days agoLast seen August 29, 2026Est. expiry June 5, 2026

Execution Research Lead

About the role

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. Role Overview: As the Execution Quantitative Researcher, you will play a pivotal role in establishing and advancing execution research efforts. This is an exciting opportunity to be the inaugural hire in this domain, allowing you to define and lead our execution strategies from the ground up and learn on the job. Key Responsibilities include creating and enhancing execution strategies, optimising order placement to reduce slippage, developing market impact models, validating backtesting engines, and collaborating with researchers. Qualifications include 2-8 years in quant trading and execution research, strong background in market microstructure and TCA, proficiency in Python, and an advanced degree in a quantitative field. Crypto trading experience is a plus.

Job Details

Responsibilities

  • Create and enhance execution strategies aimed at capitalising on new alpha signals over various time frames, ranging from seconds to hours.
  • Optimise order placement and scheduling techniques to effectively reduce slippage during trades.
  • Develop comprehensive market impact models and seamlessly integrate them into the portfolio optimisation framework.
  • Leverage internal trading data to validate and improve backtesting engines, ensuring robust performance analysis.
  • Work closely with fellow researchers to contribute to the overall development of trading strategies and methodologies

Requirements

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

Skills & Technologies

PythonC++

Education Level

Masters
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Durlston Partners · 105 open roles
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LocationActive listings
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Current role mix at Durlston Partners on JobCrawls
Role typeActive listings
Software Engineer13
Quantitative Researcher7
Quantitative Developer5
C++ Engineer3
Data Scientist3
Frontend Developer2
C++ Software Engineer2
Quantitative Trader2
Portfolio Manager2
Machine Learning Researcher2
Finance Data Scientist2
Senior Software Engineer2
Data Engineer2
FPGA Engineer2
AI Engineer2
Research Scientist1
DeFi Software Engineer1
Systematic Equity Quantitative Researcher1
Frontend Engineer1
Project Manager1
Options Trader1
Enterprise Account Executive1
AI Researcher1
Quantitative Portfolio Manager1
Middle Office Software Engineer1
Python Developer1
Options Volatility Traders1
Quantitative Analyst1
Golang Engineer1
Chief Legal Officer1
Trading Systems Developer1
Front End Engineer1
Head of AI1
Principal Engineer1
Business Analyst1
Deep Learning Researcher1
Smart Contract Engineer1
UI/UX Engineer1
Options Strategist1
Senior AI/Deep Learning Quantitative Researcher1
Full Stack Engineer1
Java Developer1
Emerging Markets Rates & FX Portfolio Manager1
Systematic Portfolio Manager1
Researcher1
Java Software Engineer1
Machine Learning / Software Engineer1
Financial Analyst1
Quant Developer1
Cloud Infrastructure Engineer1
Trader1
Platform Architect1
Head of Artificial Intelligence1
C++ Team Lead1
Hardware Engineer1
C++ Developer1
Quantitative Vol Trader1
Senior C++ Engineer1
Software Engineering Manager1
Systems Engineer1
Hardware Engineering1
Quantitative Research Lead1
Financial Trader1
Quantitative Strategist1
Infrastructure Lead1
Current role-level mix at Durlston Partners on JobCrawls
Role levelActive listings
Mid-Level89
Senior3

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