Company Overview

The organisation operates within the financial technology and electronic trading industry, developing technology infrastructure that supports market connectivity, automated trading, financial data processing, and execution services. Its technology environment focuses on system performance, reliable market data delivery, and efficient integration with financial trading venues.

Role Summary

The Quantitative Trading Infrastructure Engineer will develop and maintain the technical systems supporting algorithmic trading, quantitative research, and electronic execution environments. The role combines software engineering, financial market infrastructure, and performance optimisation.

The successful candidate will work with quantitative researchers, trading specialists, and infrastructure engineers to build reliable systems for processing market data, executing trading strategies, and monitoring automated trading activity.

The position requires strong programming capabilities, an understanding of electronic trading architecture, and the ability to develop low-latency, resilient financial technology solutions.

Key Responsibilities

• Design and maintain infrastructure supporting algorithmic and quantitative trading applications.

• Develop high-performance software components for market data ingestion and order execution.

• Build and optimise communication interfaces connecting trading systems with external liquidity venues.

• Implement monitoring mechanisms for execution performance, system availability, and trading infrastructure health.

• Collaborate with quantitative researchers to translate analytical models into production-ready software components.

• Optimise application performance, processing efficiency, and system response times.

• Develop automated testing procedures for trading infrastructure and execution workflows.

• Investigate technical issues affecting market data feeds, order routing, and execution systems.

• Maintain reliable data pipelines for historical and real-time market information.

• Implement appropriate logging, monitoring, and alerting mechanisms.

• Support infrastructure upgrades, deployment activities, and production incident resolution.

• Document system architecture, integration procedures, and technical dependencies.

Requirements and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical discipline.

• At least four years of experience in backend engineering, financial technology, or trading infrastructure development.

• Strong programming skills in C++, Python, Java, or similar languages.

• Understanding of algorithmic trading systems and electronic execution workflows.

• Experience with real-time data processing and high-performance applications.

• Knowledge of networking protocols, APIs, and distributed systems.

• Familiarity with Linux environments, Git, and automated deployment practices.

• Understanding of financial market data structures and order lifecycle management.

• Strong debugging, analytical, and performance optimisation skills.

• Experience with FIX protocol or low-latency trading systems is an advantage.

Benefits

• Fully remote working arrangement within Estonia.

• Competitive compensation reflecting engineering expertise and experience.

• Opportunity to work on sophisticated electronic trading infrastructure.

• Access to modern development tools and financial technology platforms.

• Continuous technical learning and professional development.

• Collaboration with quantitative research and trading technology specialists.

Application Instructions

Interested applicants should provide an updated CV detailing their software engineering experience, programming expertise, and previous involvement in trading or financial systems. Candidates should highlight relevant projects involving market data processing, execution infrastructure, and high-performance applications.

Are you interested in this position?

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