обновлено 2 дня назад
Entry-Level Quantitative Developer (Python/C++)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Entry-Level Quantitative Developer (Python/C++): Building research platforms, market-data systems, APIs, data pipelines, and trading technology for quantitative finance with an accent on performance, reliability, distributed systems, and low-latency engineering. Focus on profiling latency and memory use, designing dependable simulation and trading services, and translating quantitative ideas into tested production tools.
Location: Remote within the United States
Company
Proprietary trading firm expanding its quantitative engineering team and building research platforms, market-data systems, and trading technology.
What you will do
- Build software for quantitative research, market data, simulation, and trading workflows.
- Design and maintain high-throughput data pipelines, APIs, and services for time-sensitive financial systems.
- Improve reliability, performance, testing, monitoring, and operational visibility.
- Profile latency, memory use, concurrency, and performance across research and trading applications.
- Collaborate with traders and quantitative researchers to turn ideas into dependable tools.
- Troubleshoot production issues, participate in code reviews, and improve engineering standards.
Requirements
- Must be based in the United States for this remote role.
- Early-career software engineering experience from professional work, internships, coursework, open-source projects, research, or personal projects.
- Strong computer science fundamentals, including data structures, algorithms, testing, and systems design.
- Proficiency in Python, C++, Java, Rust, Go, or another production programming language.
- Ability to reason about performance, reliability, concurrency, and operational trade-offs.
- Strong attention to detail, analytical judgment, communication, teamwork, and willingness to learn; prior quantitative 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 path from idea to implementation.
- Small, technical, collaborative environment focused on curiosity, discipline, and continuous learning.
- Growth opportunities based on performance, ownership, and measurable impact.
- Competitive compensation and a benefits package aligned with the employer and location.
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