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Job verified 13 hours ago

Senior Quantitative Researcher - Systematic Macro & Execution Alpha

eFinancialCareers·London (South East England)On-siteSenior
Salary not stated
Vox Summary
  • Role Responsibilities: Drive research into short-horizon, high-frequency trading signals and optimize trading strategy design and execution.
  • Team Leadership: Build and oversee a small team of junior researchers, contributing to leadership and hands-on research activities.
  • Technical Environment: Leverage distributed computing (e.g. AWS, Slurm), large-scale data tools (kdb+, Exasol), and advanced statistical and machine learning methods.
  • Candidate Requirements: 3+ years in quantitative trading or research, with strong academic credentials in a quantitative or technical field.
  • Preferred Skills: Familiarity with high-frequency/tick data, Python or C++, distributed computing, low-latency environments, and kdb+/q experience.
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Job description

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 distributed computing environments (e.g. AWS, Slurm), large-scale data tools (e.g. 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, Computer Science, Engineering, or Finance • Familiarity with high-frequency or tick-level data and an ability to derive actionable insights from complex datasets • Proficiency in Python or C++; experience with distributed computing and low-latency research environments is advantageous • Strong preference for candidates with kdb+/q experience and familiarity with execution protocols such as FIX • Confident communicator, able to clearly explain concepts, defend ideas, and work collaboratively with non-research stakeholders

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Original source
reed.co.uk
Posted
Jul 13, 2026 · true date
Last verified
13 hours ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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