Real-Time Quant Software Engineer

Referment

New York (NY)

Sur place

USD 120 000 - 180 000

Plein temps

Il y a 35 heures
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Résumé du poste

Referment is collaborating with a global investment and technology firm to recruit software developers for technically demanding work at the core of systematic investing. You will design and build software for quantitative research and systematic trading, working with real-time data and distributed systems to support live research and trading decisions.

The role welcomes strong candidates at different career stages and offers opportunities to tackle challenging problems spanning mathematical

Qualifications

  • Hands-on software development with strong CS fundamentals.
  • Analytical and quantitative problem solving capability.
  • Achievement in computer science, mathematics, engineering, or related field.
  • Ability to collaborate on complex technical problems and design decisions.

Responsabilités

  • Design and build software for quantitative research and systematic trading.
  • Develop distributed systems that analyse and respond to incoming data in real time.
  • Create tools for advanced mathematical modelling and statistical analysis.
  • Work with researchers and other developers to translate complex requirements into reliable, maintainable systems.
  • Investigate performance and scale challenges where engineering choices directly affect analytical capability.

Connaissances

Algorithms
Software design
Analytical thinking
Quantitative skills
Collaboration

Formation

CS/Math/Engineering degree

Description du poste

Referment is collaborating with a global investment and technology firm to recruit software developers for technically demanding work at the core of systematic investing. You will design and build software for quantitative research and systematic trading, working with real-time data and distributed systems to support live research and trading decisions.

The role welcomes strong candidates at different career stages and offers opportunities to tackle challenging problems spanning mathematical

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