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6 дней назад

Entry-Level Quantitative Developer (Python/C++)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Entry-Level Quantitative Developer (Python/C++): Building dependable research platforms, market-data systems, and trading technology with an accent on low-latency systems and algorithmic trading infrastructure. Focus on designing high-throughput data pipelines, profiling system performance, and translating quantitative ideas into production-ready tools.

Location: Remote (Must be based in the United States)

Company

A San Francisco-based proprietary trading firm specializing in quantitative trading.

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.
  • Profile latency, memory use, and reliability across critical research and trading applications.
  • Improve system reliability, operational visibility, and engineering standards across the codebase.
  • Collaborate with traders and researchers to translate quantitative ideas into dependable tools.
  • Troubleshoot production issues and build monitoring systems to detect and diagnose failures.

Requirements

  • Must be based in the United States.
  • Strong computer science fundamentals, including data structures, algorithms, and systems design.
  • Proficiency in Python, C++, Java, Rust, Go, or another production programming language.
  • Ability to reason about performance, reliability, concurrency, and operational tradeoffs.
  • Practical software engineering experience demonstrated through coursework, internships, open-source, or personal projects.
  • Analytical judgment, intellectual curiosity, and a commitment to continuous improvement.

Culture & Benefits

  • Hands-on development across quantitative systems, market data, and performance engineering.
  • Mentorship from experienced quantitative traders, researchers, and technologists.
  • Exposure to live financial markets and real-world datasets.
  • Collaborative, high-performance environment that values curiosity and discipline.
  • Opportunities for rapid growth based on performance, ownership, and measurable impact.
  • Competitive compensation and a benefits package aligned with location.

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