Senior Quantitative Researcher – Systematic Macro & Execution Alpha

T Posted byRecruiterSenior Quantitative Researcher – Systematic Macro & Execution Alpha Location : London / Flexible Start Date : Negotiable A systematic investment team is seeking an experienced Senior Quantitative Researcher to lead and expand its capabilities in alpha research and execution strategy. This role is geared toward individuals with a strong track record (or demonstrated potential) in signal development and high-frequency or short-horizon strategy research. You will work across both alpha modeling and trade implementation research, with the opportunity to manage and mentor a small sub-team within a larger, integrated PM group.

Role Overview :

• Drive research into short-horizon, high-frequency trading signals with typical holding periods of several hours to a few days
• Take ownership of execution and market microstructure research, helping optimize trading strategy design and implementation
• Collaborate with a cross-functional team of researchers, technologists, and portfolio managers in a highly iterative, data-driven workflow
• Build and oversee a small, high-caliber team of junior researchers (2–3 people), contributing to both leadership and hands-on research
• Leverage a modern research stack that includes distributedputing environments ( AWS, Slurm), large-scale data tools ( kdb+, Exasol), and advanced methods in statistics and machine learning

Ideal Candidate Will Have :

• 3+ years of experience in a quantitative trading or research role at a hedge fund, proprietary trading firm, or sell-side algo desk
• Demonstrated contributions to alpha generation or strong potential to do so in a collaborative environment
• Strong academic credentials (First Class, Honours, MSc or PhD) in a quantitative or technical field such as Mathematics, Statistics, Physics,puter Science, Engineering, or Finance
• Familiarity with high-frequency or tick-level data and an ability to derive actionable insights fromplex datasets
• Proficiency in Python or C++; experience with distributedputing and low-latency research environments is advantageous
• Strong preference for candidates with kdb+ / q experience and familiarity with execution protocols such as FIX
• Confidentmunicator, able to clearly explain concepts, defend ideas, and work collaboratively with non-research stakeholders

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