New Graduate Full-Time Quantitative Researcher

About the Role

A London-headquartered proprietary trading enterprise is expanding its research and engineering division and seeks a driven Quantitative Developer to fill the position of Quantitative Researcher. The role involves creating robust research platforms, market data systems, and trading technology as part of a collaborative quantitative engineering team.

This role is perfectly suited for new graduates or current students passionate about software engineering, market data, distributed systems, and quantitative finance. The position integrates work in Python and C++ programming, performance-critical systems, and algorithmic trading infrastructure. You will work closely alongside expert traders, quantitative researchers, and engineers to gain hands-on experience in designing, testing, and deploying modern financial trading strategies and systems.

The team is small, technical, and collaborative, providing direct interaction with seasoned professionals and access to top-tier market data and research infrastructure. This position supports remote work and welcomes applicants based anywhere in Europe.

Key Responsibilities

• Develop tools utilized by researchers, traders, and data teams
• Manage and work extensively with time-series data, APIs, and internal services
• Enhance the dependability, test coverage, and speed of research workflows
• Build stable software systems supporting quantitative research, trading, simulation, and market-data processes
• Design and maintain efficient, high-throughput data pipelines and APIs suitable for time-sensitive financial applications
• Analyze latency, memory usage, reliability, and performance across critical trading and research programs
• Implement testing, participate in code reviews, and raise engineering standards across the codebase
• Diagnose production issues and establish monitoring tools for easier error detection and diagnosis
• Collaborate closely with traders and researchers to convert quantitative ideas into reliable tools

Required Qualifications and Skills

• Currently enrolled student in any degree program with practical programming experience
• Fundamental programming skills in Python, C++, Java, or similar languages gained through academic, project-based, or self-directed work
• Strong interest in learning about quantitative finance technology; no prior experience required
• Demonstrable problem-solving skills and curiosity via coursework, projects, competitions, or hobbies
• Solid computer science fundamentals including data structures, algorithms, testing, and system design
• Proficiency in at least one production programming language such as Python, C++, Java, Rust, or Go
• Ability to evaluate performance, reliability, concurrency, and operational trade-offs
• Interest in financial markets is beneficial but not mandatory
• Open to applicants from any academic discipline
• No previous industry experience in quantitative finance, trading, or investments necessary
• Exceptional attention to detail, intellectual curiosity, and commitment to continuous improvement
• Strong communication and teamwork capabilities

Ideal Candidate Profile

The preferred candidate is a practical and precise developer that values correctness, efficiency, and maintainability. They enjoy analyzing system performance under real-world conditions, thrive collaborating with technically demanding users, and take ownership throughout design, testing, and production phases.

Benefits and Opportunities

• Engage hands-on with quantitative systems, market data management, research platforms, and production reliability engineering
• Receive mentorship from experienced quantitative traders, researchers, engineers, and technology experts
• Gain exposure to live financial markets, authentic datasets, and the entire process from concept to implementation
• Work in a collaborative, high-output environment fostering curiosity and continuous learning
• Opportunity for accelerated career advancement based on performance, ownership, and measurable contributions
• Competitive salary with benefits aligned to employer standards and geographic location