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1 день назад

Quantitative Trader - 2027 (Fintech)

150 000 - 250 000$
Формат работы
hybrid
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

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TL;DR
Quantitative Trader - 2027 (C++/Python): Designing and deploying high-frequency trading algorithms while analyzing market data and microstructure with an accent on trading research, analytical tooling, and exchange simulation. Focus on discovering market patterns, calibrating simulators, building computational libraries, and resolving real-time trading issues.

Location: New York or Chicago; hybrid working opportunities available.

Annual base salary: $150,000–$250,000, plus eligible discretionary bonus.

Company

Quantitative trading firm building high-performance electronic trading infrastructure and systematic trading strategies for global markets.

What you will do

  • Design, implement, and deploy high-frequency trading algorithms.
  • Analyze market data and market microstructure to identify trading patterns and ideas.
  • Create data-analysis tools and contribute to analytical computation libraries.
  • Develop, augment, and calibrate exchange simulators.
  • Work with trade support, market centers, and other stakeholders to resolve real-time trading issues.
  • Participate in interviewing and occasional campus recruiting activities.

Requirements

  • Bachelor’s, Master’s, or PhD degree in computer science, mathematics, physics, electrical engineering, or a related field.
  • 0–2 years of experience.
  • Proficiency in an object-oriented programming language; C++ and Python are preferred.
  • Working knowledge of Linux/Unix.
  • Strong problem-solving and communication skills, with the ability to manage multiple tasks in a fast-paced environment.
  • Interest in financial markets and passion for new technologies and ideas.

Nice to have

  • Past industry experience.
  • Teaching Assistant experience or participation in relevant Olympiads.
  • Familiarity with machine learning, data analysis, market research, or data modeling.

Culture & Benefits

  • Generous paid time off policies.
  • Savings plans and financial wellness tools available in each region.
  • Free breakfast, lunch, and snacks daily.
  • Wellness experiences, wellness expense reimbursement, sports teams, and fitness events.
  • Volunteer opportunities, charitable giving, social events, and continuous learning workshops.

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