Quantitative Software Engineer (Python)
⚲ Warszawa
25 000 - 30 000 PLN brutto (UoP)
Wymagania
- Python
- SQL
- Linux
Opis stanowiska
Quantitative Software Engineer
Warsaw, hybrid.
Join a team building a research-to-trading platform used to design, test, and deploy quantitative investment strategies. This is a hands-on engineering role focused on high-performance analytics, market data, and production trading infrastructure.
Responsibilities
• Develop and maintain C++ and Python applications supporting quantitative research and trading.
• Build analytics, pricing libraries, and tools for backtesting, simulation, and production trading.
• Design and optimize data pipelines handling large historical and real-time market datasets.
• Develop and support production services, including testing, deployment, and monitoring.
• Improve platform scalability, reliability, and performance.
• Partner directly with researchers and investment professionals to deliver robust, production-grade solutions.
• Contribute to technical roadmap, automation, and engineering best practices.
Requirements
• Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
•
3+ years of software engineering experience in production environments.
• Strong programming skills in Python and modern C++.
• Experience with SQL, relational databases, and Linux development.
• Experience building, deploying, and supporting production systems.
• Strong performance tuning, debugging, and optimization skills.
• Understanding of financial markets (equities, futures, FX) and market data usage.
• Strong analytical, problem-solving, and communication skills.
Nice to Have
• Experience working directly with quantitative research or trading teams.
• Background in low-latency or high-throughput systems.
• Experience with large-scale data processing and analytics platforms.
Warsaw, hybrid.
Join a team building a research-to-trading platform used to design, test, and deploy quantitative investment strategies. This is a hands-on engineering role focused on high-performance analytics, market data, and production trading infrastructure.
Responsibilities
• Develop and maintain C++ and Python applications supporting quantitative research and trading.
• Build analytics, pricing libraries, and tools for backtesting, simulation, and production trading.
• Design and optimize data pipelines handling large historical and real-time market datasets.
• Develop and support production services, including testing, deployment, and monitoring.
• Improve platform scalability, reliability, and performance.
• Partner directly with researchers and investment professionals to deliver robust, production-grade solutions.
• Contribute to technical roadmap, automation, and engineering best practices.
Requirements
• Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
•
3+ years of software engineering experience in production environments.
• Strong programming skills in Python and modern C++.
• Experience with SQL, relational databases, and Linux development.
• Experience building, deploying, and supporting production systems.
• Strong performance tuning, debugging, and optimization skills.
• Understanding of financial markets (equities, futures, FX) and market data usage.
• Strong analytical, problem-solving, and communication skills.
Nice to Have
• Experience working directly with quantitative research or trading teams.
• Background in low-latency or high-throughput systems.
• Experience with large-scale data processing and analytics platforms.
🔍 Dekoder Ogłoszenia
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research-to-trading platform
Może oznaczać, że będziesz pracować nad narzędziami, które są na wczesnym etapie rozwoju i mogą być niestabilne lub wymagać ciągłych zmian.
🔴
high-performance analytics
Oczekuje się od Ciebie pisania kodu, który jest ekstremalnie szybki i efektywny, co może wymagać głębokiego zrozumienia optymalizacji i niskopoziomowych zagadnień.
🔴
production trading infrastructure
Będziesz odpowiedzialny za systemy, które działają na żywo i obsługują realne pieniądze, co wiąże się z wysoką presją i potrzebą bezbłędności.
🟡
Partner directly with researchers and investment professionals
Może oznaczać konieczność częstego tłumaczenia złożonych problemów technicznych na język zrozumiały dla osób nietechnicznych i odwrotnie, co bywa czasochłonne.
🟢
Contribute to technical roadmap, automation, and engineering best practices
Oprócz bieżących zadań, będziesz musiał aktywnie uczestniczyć w kształtowaniu przyszłości technologii i procesów, co wymaga proaktywności i wizji.