Quantitative Researcher

Albert Bow Limited; Greater London; On-site; GBP 240,000 - 260,000; Full time

Benefits offered by this job

Ownership of research deployment

Access to market data and state-of-the

Infrastructure resources

Job summary

Albert Bow Limited in London seeks a Quantitative Researcher to develop trading strategies, research infrastructure, and production-ready code in a small, collaborative team. The role emphasizes high-frequency approaches and market microstructure research.

You will analyze large datasets, validate models, and help build backtesting and simulation frameworks to bridge research and live performance, with early responsibility and potential for significant impact.

Qualifications

• Advanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a similar quantitative field
• Strong research skills and experience applying mathematical and statistical tools to real-world problems
• ~3+ years of hands-on experience analysing empirical data in a scientific manner
• Proficient in Python; strong experience in at least one compiled language (Rust, C++, Go, etc.)
• Comfortable with Linux/Unix, cloud environments (e.g., AWS), Git and containerisation (Docker)
• Prior exposure to market microstructure or trading research is preferred
• Entrepreneurial mindset, proactive problem-solver, and effective collaborator
• Experience building or optimising low-latency systems
• Familiarity with simulation frameworks and performance measurement in production

Responsibilities

• Research and implement trading and pricing strategies, including high-frequency approaches
• Analyse large datasets to discover statistical trading opportunities and validate models
• Develop and improve simulation and backtesting frameworks to better match live performance
• Translate mathematical models into robust production code in collaboration with engineers

Skills

Quantitative analysis

Python

Compiled languages

Linux/Unix

Cloud AWS

Git

Docker

Low-latency systems

Market microstructure

Collaboration

Education

MSc/PhD in Mathematics/Statistics/Physics/CS/Engineering

Tools

Docker

Git

AWS

Job description

Quantitative Researcher | HFT | Crypto | London £250k + PnL

We are a fast-growing, venture-backed technology firm focused on building trading and liquidity solutions across multiple markets. We operate in a collaborative, flat start up environment that values technical excellence, initiative, and practical impact.

Role overview

We are looking for a Quantitative Researcher with strong analytical and programming skills and a passion for systematic research and market microstructure. You will contribute to the development of trading strategies and research infrastructure, working closely with a small technical team. The role offers early responsibility and the opportunity to shape long-term research direction.

Key responsibilities

• Research and implement trading and pricing strategies, including high-frequency approaches
• Analyse large datasets to discover statistical trading opportunities and validate models
• Develop and improve simulation and backtesting frameworks to better match live performance
• Translate mathematical models into robust production code in collaboration with engineers

Required qualifications & skills

• Advanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a similar quantitative field
• Strong research skills and experience applying mathematical and statistical tools to real-world problems
• ~3+ years of hands-on experience analysing empirical data in a scientific manner
• Proficient in Python; strong experience in at least one compiled language (Rust, C++, Go, etc.)
• Comfortable with Linux/Unix, cloud environments (e.g., AWS), Git and containerisation (Docker)
• Prior exposure to market microstructure or trading research is preferred
• Entrepreneurial mindset, proactive problem-solver, and effective collaborator
• Experience building or optimising low-latency systems
• Familiarity with simulation frameworks and performance measurement in production

What we offer!

• Fast-paced, collaborative environment with ownership of research through deployment.
• Access to high-quality market data and state-of-the-art infrastructure.