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6 часов назад

Software Developer (Risk Data Pipelines)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland/India/Canada
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 (Risk Data Pipelines) (Python/SQL): Building business-critical software for trade data ingestion and egress, risk exposure, P&L analytics, and automated trading operations with an accent on financial data processing and regulatory correctness. Focus on designing maintainable services, resolving performance bottlenecks, supporting trade and position reconciliation, and collaborating with trading and quantitative teams.

Location: Bangalore, Montreal, or Warsaw

Company

hirify.global develops technology supporting systematic and quantitative trading strategies, including risk controls, trading operations, and market data processing.

What you will do

  • Design, develop, and deliver high-quality, maintainable software for risk data pipelines.
  • Normalize and stream trade data from platforms such as Bloomberg, Fidessa, and SpiderRock.
  • Build feeds to third-party platforms to support trade booking correctness and regulatory compliance.
  • Develop services and analytics for understanding risk exposure, P&L, and capital efficiency.
  • Automate trading operations, including options and futures expiry management and trade, position, and P&L reconciliation.
  • Collaborate with stakeholders and colleagues on requirements, architecture, technology choices, bottlenecks, delivery, design discussions, mentoring, and level 2 support.

Requirements

  • Bachelor’s degree in computer science or a related subject.
  • At least 4 years of Python development experience in the financial industry.
  • Experience with database management systems and SQL.
  • Knowledge of traded financial instruments such as equities, FX, credit, or rates.
  • Strong communication skills and a collaborative approach.

Nice to have

  • Experience with the FIX protocol.
  • Data engineering experience using Python with pandas, R, or Julia.
  • Experience with KDB+/q.

Culture & Benefits

  • Close collaboration with trading and quantitative teams.
  • Exposure to multiple aspects of hedge fund operations.
  • Opportunity to contribute to design discussions and mentor other team members.

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