обновлено 2 дня назад
Quantitative Developer (Quantitative Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Developer (Quantitative Finance): Building research platforms, market-data systems, APIs, and trading technology with an accent on Python and C++ engineering, low-latency systems, and quantitative research workflows. Focus on designing high-throughput data pipelines, profiling latency and memory use, improving reliability, and translating quantitative ideas into dependable production tools.
Location: London, England, United Kingdom; remote work is open to candidates across Europe. Workplace: on-site.
Company
is a proprietary trading firm building quantitative research and engineering capabilities.
What you will do
- Build research platforms, market-data systems, and trading technology used by researchers, traders, and data teams.
- Develop high-throughput data pipelines, APIs, internal services, and reliable software for quantitative research, simulation, and trading.
- Work with time-series data and profile latency, memory use, reliability, and performance across critical systems.
- Write tests, participate in code reviews, improve engineering standards, and troubleshoot production issues.
- Build monitoring and collaborate with traders and researchers to turn quantitative ideas into dependable tools.
Requirements
- Current enrollment in a degree program; applicants from every degree discipline are welcome.
- Practical programming experience with Python, C++, Java, Rust, Go, or another production language.
- Strong computer science fundamentals, including data structures, algorithms, testing, and systems design.
- Ability to reason about performance, reliability, concurrency, and operational trade-offs.
- Curiosity, problem-solving ability, attention to detail, and strong communication and teamwork skills.
- Prior quantitative finance, trading, investment-industry, or finance experience is not required.
Culture & Benefits
- Hands-on development across quantitative systems, market data, research platforms, performance engineering, and production reliability.
- Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
- Exposure to live markets, real financial datasets, and the full path from idea to implementation.
- Collaborative, high-performance environment focused on curiosity, discipline, and continuous learning.
- Growth opportunities based on performance, ownership, and measurable impact.
- Competitive compensation and benefits aligned with the employer and location.
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