Quantitative Systems Engineer - Trading & Research Tools

Referment

Greater London

Presencial

GBP 90.000 - 140.000

Jornada completa

hace 30 horas
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Descripción de la vacante

Referment is a quantitative investment firm looking for a developer to build software and research frameworks behind its trading activity. The role combines software engineering with quantitative problem-solving across on-premises and cloud environments, using Python and C++ to support market-data delivery and research tooling.

You will work on low-latency data paths, integrated research/execution frameworks, cloud-based simulations, and infrastructure for new asset classes, bridging research

Formación

  • Strong programming ability with the engineering judgement to build robust quantitative systems.
  • Quantitative acumen and interest in applying it to trading, research and market-data problems.
  • Experience with Python, C++ or both.
  • Ability to work across research and production concerns.

Responsabilidades

  • Build reliable software and frameworks used in quantitative research and trading.
  • Deliver fast market data into trading systems where performance is critical.
  • Develop integrated research and execution frameworks for fast predictors.
  • Create simulation and research tooling for cloud environments.
  • Support the development of research infrastructure for new asset classes.
  • Work across Python and C++ systems deployed both on-premises and in the cloud.

Conocimientos

Python
C++
Quantitative thinking
Trading systems

Descripción del empleo

Referment is a quantitative investment firm looking for a developer to build software and research frameworks behind its trading activity. The role combines software engineering with quantitative problem-solving across on-premises and cloud environments, using Python and C++ to support market-data delivery and research tooling.

You will work on low-latency data paths, integrated research/execution frameworks, cloud-based simulations, and infrastructure for new asset classes, bridging research

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