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3 дня назад

Quantitative Developer, Python - Trading Teams EMEA

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/Singapore
Релокация
Singapore
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
Quantitative Developer, Python - Trading Teams EMEA (Python/quantitative trading): Improving research frameworks and developing Python tools for quantitative trading strategies with an accent on simulation, backtesting, and statistical research libraries. Focus on building production-grade research tools, monitoring quantitative jobs, and collaborating closely with on-site researchers on EMEA-related strategies.

Location: London, United Kingdom; an opportunity is also available with a team based in Singapore for candidates interested in relocating.

Company

Quantitative trading firm building electronic trading infrastructure, research platforms, and business services for independent trading teams.

What you will do

  • Collaborate closely with on-site quantitative researchers to improve research processes and trading-strategy performance.
  • Develop Python tools for quantitative trading strategy research.
  • Improve the existing simulation and backtesting framework.
  • Monitor and maintain quantitative research jobs.
  • Support the global research team with EMEA-related research through multiple communication channels.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Excellent knowledge of Python and statistical libraries including NumPy, Pandas, and Polars.
  • Demonstrable Python experience in a production environment.
  • Experience with workflow management and task scheduling.
  • Strong problem-solving, communication, and teamwork abilities in a fast-paced, geographically distributed environment.

Nice to have

  • Experience with C++, Bash or other scripting languages, and financial markets.

Culture & Benefits

  • Hybrid working opportunities.
  • Generous paid time off policies and regional savings plans.
  • Daily breakfast, lunch, and snacks.
  • Wellness experiences, wellness-expense reimbursement, sports teams, and fitness events.
  • Volunteer opportunities, charitable giving, social events, and continuous learning workshops.

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