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5 часов назад

Software Developer | C# | ETF | Experienced Hire (Quantitative Trading)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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 Developer | C# | ETF | Experienced Hire (Quantitative Trading): Building datasets, quantitative signal generators, and React-based control surfaces for ETF trading strategies with an accent on Python, JavaScript/TypeScript, visualization, and full SDLC ownership. Focus on integrating market data, developing trading interfaces, and collaborating with quantitative researchers, traders, and international business teams.

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

Company

Global quantitative trading firm applying software engineering, machine learning, and quantitative research to large financial datasets and systematic trading strategies.

What you will do

  • Curate high-value datasets for traders and quantitative researchers.
  • Build and maintain frontend interfaces for trading strategies and signal generators.
  • Develop quantitative signals that feed trading strategies.
  • Create strategy control surfaces, data solutions, and visualizations.
  • Own the software development lifecycle from requirements gathering through production deployment and support.
  • Collaborate with business counterparts in Europe and Asia to support international growth.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a similar field.
  • 3+ years of software development experience in an object-oriented language.
  • Experience with Python, JavaScript/TypeScript, or C++; React is used for custom UI development.
  • Ability to work onsite in Bala Cynwyd, Pennsylvania.
  • Visa sponsorship is available for this position.

Culture & Benefits

  • Intellectually driven and highly collaborative quantitative trading environment.
  • Close collaboration between researchers, engineers, and traders.
  • Work with advanced quantitative research, machine learning, and large datasets.
  • Linux-based technology ecosystem with full ownership of production software.

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