Direct message the job poster from Durlston Partners
We’re partnered with a discreet trading firm looking to grow its high-performing quantitative strategy team. This is a rare opportunity for a talented researcher with 2+ years’ experience to work directly alongside the Head of Quantitative Research on high-impact futures trading strategies.
You will be joining a collaborative, technology-driven environment where ideas move quickly from research to production, and your work will directly contribute to the firm’s P&L.
Role Overview:
* Design and build statistical models for use in high-frequency trading strategies
* Generate new trading ideas and hypotheses
* Analyse tick-level data to identify patterns, optimise execution, and enhance models
* Monitor and manage deployed strategies, refining them based on performance insights
Key Responsibilities:
* Collaborate with researchers, traders, and developers to create and deploy innovative trading strategies
* Apply advanced data analysis to build predictive models and portfolio optimisation frameworks
* Analyse production performance, defining metrics to guide the research cycle
Requirements:
* Minimum 2 years’ experience working on quantitative trading systems
* Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or related discipline
* Proven quantitative and analytical skills with exceptional attention to detail
* Proficiency in Java, Kotlin, Python, or similar languages
* Strong knowledge of statistics and/or machine learning
* Experience with intraday strategies or high-frequency signals
* Experience with market making strategies
* Exposure to tick-level data
* Excellent teamwork and communication skills
* Experience developing systematic futures trading models at a technology-driven proprietary trading firm
Location: London
This role offers the chance to work at the forefront of high-frequency futures trading, with direct access to senior decision-makers, cutting-edge infrastructure, and an environment where top talent thrives.
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Full-time
Job function
* Job function
Research
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