Quantitative Researcher (Quantitative Finance)

TL;DR

Quantitative Researcher (Quantitative Finance): Building dependable research platforms, market-data systems, and trading technology with an accent on high-throughput data pipelines and low-latency systems. Focus on translating quantitative ideas into dependable tools and optimizing performance across critical trading applications.

Location: Remote (Europe) or On-site (London, UK)

Company

A London-based proprietary trading firm specializing in quantitative research and engineering.

What you will do

• Develop tools used by researchers, traders, and data teams.
• Design and maintain high-throughput data pipelines, APIs, and services for time-sensitive financial systems.
• Profile and optimize latency, memory use, and reliability across critical research and trading applications.
• Build reliable software for quantitative research, simulation, and market-data workflows.
• Collaborate closely with traders and researchers to translate quantitative ideas into dependable tools.
• Improve engineering standards through code reviews, testing, and production monitoring.

Requirements

• Currently enrolled student or recent graduate from any degree discipline.
• Proficiency in Python, C++, Java, Rust, Go, or another production programming language.
• Strong computer science fundamentals, including data structures, algorithms, and systems design.
• Ability to reason about performance, reliability, concurrency, and operational tradeoffs.
• Evidence of problem-solving through projects, competitions, or coursework.
• Must be based in Europe for remote work options.

Culture & Benefits

• Mentorship from experienced quantitative traders, researchers, and engineers.
• Direct exposure to live markets, real financial datasets, and the full path from idea to implementation.
• Collaborative, high-performance environment that values curiosity and discipline.
• Opportunities for rapid growth based on performance, ownership, and measurable impact.
• Competitive compensation and benefits package.