Senior Quantitative Researcher - Systematic Macro & Execution Alpha

eFinancialCareers
London, United Kingdom
4 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

ML Runtime Engineer

Fractile London, United Kingdom
Hybrid

Senior Quantitative Researcher - Systematic Macro Strategies

eFinancialCareers London, United Kingdom
On-site

Junior Quantitative Researcher - Sports Betting/ London/ 75K

eFinancialCareers London, United Kingdom
On-site

Elite Quant Researcher -Global Systematic Investment Firm/ London/ USA

eFinancialCareers London, United Kingdom

Quantitative Researcher - Systematic Equities

eFinancialCareers London, United Kingdom

Quantitative Researcher Machine Learning - eFinancialCareers

eFinancialCareers London, United Kingdom
On-site

Lead Alpha Researcher

eFinancialCareers London, United Kingdom
£300,000 pa
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Masters
Posted
6 May 2026 (4 months ago)

Role Overview:

  1. Drive research into short-horizon, high-frequency trading signals with typical holding periods of several hours to a few days
  2. Take ownership of execution and market microstructure research, helping optimize trading strategy design and implementation
  3. Collaborate with a cross-functional team of researchers, technologists, and portfolio managers in a highly iterative, data-driven workflow
  4. Build and oversee a small, high-caliber team of junior researchers (2–3 people), contributing to both leadership and hands-on research
  5. 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:

  1. 3+ years of experience in a quantitative trading or research role at a hedge fund, proprietary trading firm, or sell-side algo desk
  2. Demonstrated contributions to alpha generation or strong potential to do so in a collaborative environment
  3. 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
  4. Familiarity with high-frequency or tick-level data and an ability to derive actionable insights from complex datasets
  5. Proficiency in Python or C++; experience with distributed computing and low-latency research environments is advantageous
  6. Strong preference for candidates with kdb+/q experience and familiarity with execution protocols such as FIX
  7. Confident communicator, able to clearly explain concepts, defend ideas, and work collaboratively with non-research stakeholders

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.