Options Quant Developer (C++/Python) for Live Trading

Thurn Partners Ltd

Chicago (IL)

Presencial

USD 120 000 - 180 000

Tempo integral

há 26 horas
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Resumo da oferta

Thurn Partners Ltd. is hiring a Quantitative Developer in Chicago to bridge research and engineering and build high-performance systems for options pricing, risk, and backtesting.

You will turn research ideas into production-grade libraries and production engines used by traders across thousands of market scenarios. You will collaborate with quantitative researchers and traders, delivering fast, scalable code and robust environments for live trading.

Qualificações

  • Strong C++ skills with emphasis on performance, memory, and concurrency.
  • Fluent Python with solid quantitative instincts.
  • Curiosity about markets; not just another engineering job.
  • Part of the research team, not a service unit.
  • Options pricing or risk experience is a strong plus but not required.
  • Degree in computer science, mathematics, engineering, or related technical field.

Responsabilidades

  • Build and own core options systems in C++ and Python for pricing, risk, and research tools.
  • Translate models into fast, reliable production code.
  • Ensure live trading matches tested research.
  • Solve large-scale computation problems where performance and correctness matter.
  • Shape trading decisions through your work.
  • Develop simulation and backtesting environments for scalable idea testing.
  • Collaborate directly with researchers and traders from ideation to live trading.

Conhecimentos

C++
Python
Markets curiosity
Research team mindset
Options/pricing/risk experience
CS/Math/Engineering degree

Formação académica

Bachelor's or higher in CS/Math/Engineering

Descrição da oferta de emprego

Thurn Partners Ltd. is hiring a Quantitative Developer in Chicago to bridge research and engineering and build high-performance systems for options pricing, risk, and backtesting.

You will turn research ideas into production-grade libraries and production engines used by traders across thousands of market scenarios. You will collaborate with quantitative researchers and traders, delivering fast, scalable code and robust environments for live trading.

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