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1 день назад

Software Engineer| Tactical Python Developer | Experienced Hire (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Software Engineer| Tactical Python Developer | Experienced Hire (Python): Building trader-facing Python applications, data pipelines, and quantitative tools for backtesting, analytics, and real-time trading workflows with an accent on data engineering, tactical analytics, and performance optimization. Focus on designing event-driven systems, maintaining structured and unstructured datasets, and converting desk feedback into scalable trading solutions.

Location: Bala Cynwyd, Philadelphia Area, Pennsylvania, United States

Company

hirify.global is a global quantitative trading firm using scientific research, machine learning, and advanced technology to develop systematic trading strategies.

What you will do

  • Research, design, and develop systems for backtesting and data analysis.
  • Build Python applications and tactical analytics tools for trading decisions.
  • Develop strategy monitoring and diagnostic capabilities, including ad-hoc tools and systematic data solutions.
  • Design and maintain data pipelines and datasets supporting research and trading.
  • Improve trading workflows, optimize performance, and refine systems based on desk feedback and evolving strategies.

Requirements

  • 3+ years of professional experience building Python applications or data systems.
  • Strong Python skills with Pandas, NumPy, and data-processing libraries.
  • Experience with Flask, FastAPI, or similar backend frameworks.
  • Experience with data pipelines, structured and unstructured datasets, APIs, real-time data feeds, SQL, and database systems.
  • Experience using AI tools to improve code quality, performance, and developer productivity.
  • Familiarity with data visualization tools and real-time or event-driven systems.

Culture & Benefits

  • Work in a collaborative environment with traders, quantitative analysts, researchers, engineers, and technologists.
  • Contribute to a systematic trading environment focused on scientific rigor, curiosity, and innovation.
  • Apply technology and quantitative research to large datasets and complex global-market problems.

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