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2 дня назад

Python Developer (Options Market Making)

Тип работы
fulltime
Английский
b2
Страна
UK
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
Python Developer (Options Market Making) (Python/data analytics): Building reliable, real-time data pipelines and analytics for trading and research teams, processing terabytes of exchange traffic with an accent on production systems, time series data, and financial-market analysis. Focus on designing streaming and batch data infrastructure, investigating low-latency trading systems at nanosecond resolution, and supporting pricing algorithms and trading strategies.

Location: London, United Kingdom

Company

hirify.global is a proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies in global listed derivatives.

What you will do

  • Design, develop, test, and deploy reliable production systems for trading and research data.
  • Build and maintain real-time data pipelines processing terabytes of exchange traffic and numerous transformations.
  • Develop accurate and timely data analytics for traders, quantitative researchers, and developers.
  • Perform analysis ranging from nanosecond-level investigations of low-latency trading systems to research on pricing algorithms and trading strategies.
  • Collaborate with trading, research, and engineering teams to deliver software rapidly into production.
  • Apply automated testing and peer code review to maintain software quality and reliability.

Requirements

  • Excellent Python skills and significant experience building complex, robust production systems.
  • Solid experience with SQL and modern database technologies.
  • Strong business communication skills, including the ability to present information clearly and concisely.
  • Ability to learn new technologies quickly and solve unfamiliar problems creatively.
  • Efficient, diligent working style with strong attention to detail.
  • Interest in trading and finance.

Nice to have

  • Experience handling large datasets and time series data.
  • Knowledge of data engineering practices for batch and streaming pipelines.
  • Knowledge of data serialization formats, messaging middleware, and data lakehouse technologies.
  • Experience with Docker, Kubernetes, modern C++, React, or TypeScript.
  • Knowledge of financial markets and securities, especially equities and options.

Culture & Benefits

  • Competitive compensation and an annual discretionary bonus.
  • Group pension plan, private healthcare, and life assurance.
  • 25 days of annual leave.
  • Fully catered breakfast, lunch, and snacks.
  • Informal dress code, cycle-to-work scheme, monthly company events, and private gym.

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