Quantitative Platform Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and develop components for our core analytics platform, such as data pipelines, pricing services, and API layers utilized by research applications.

• Create and implement scalable systems for the ingestion and processing of financial and macroeconomic data, prioritizing reliability, latency, and coverage.

• Construct and sustain internal tools and libraries that standardize the development, testing, and deployment of models, analytics, and trade signals throughout the team.

• Oversee the software lifecycle of platform components, including design, code reviews, testing, monitoring, and continuous improvement.

• Develop tools for trade discovery and screening, ensuring they are efficient, maintainable, and adaptable.

• Work closely with quantitative analysts to convert analytical needs into well-engineered platform features, serving as the link between research and production.

• Continuously enhance platform observability, deployment practices, and the developer experience.

⛳️ Requirements

• A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• Strong foundation in software engineering principles, including system design, clean architecture, testing, and code quality.

• Over 3 years of hands-on experience in a platform, quantitative development, or data engineering position within the financial services sector.

• Proficient in Python; knowledge of C++ or Rust is advantageous for performance-sensitive components.

• Practical experience in building and maintaining data infrastructure, including time-series databases, data pipelines, and API services.

• Background in implementing pricing libraries or quantitative models, preferably in a production environment rather than solely in research.

• Strong instincts regarding performance, reliability, and operational issues in dynamic trading settings.

• Effective communicator capable of collaborating across trading, research, and engineering teams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Professional development opportunities and support for continued education.

• Flexible work hours and remote work options.

• A collaborative and innovative work environment.