Software Engineer - High-Impact Quant Platform (On-Site NY)

Revive IT Recruitment

New York (NY)

Vor Ort

USD 140.000 - 230.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Global Quantitative Investment Firm is seeking a Software Engineer to design, build, and operate distributed systems powering investment research and execution platforms. This on-site role in New York offers ownership of critical components used by researchers, traders, and engineers to scale across global markets.

You will work on high-performance systems, research platforms, and backtesting engines, collaborating with quantitative teams to deploy new ideas and ensure reliability and

Qualifikationen

  • Strong fundamentals in system design, algorithms, and data structures.
  • Proficiency in Python, Java, C++, C#, Go, or Rust.

Aufgaben

  • Design, build, and maintain large-scale software systems used across the investment lifecycle.
  • Develop high-performance trading and execution platforms.
  • Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
  • Create scalable data pipelines that process and analyse massive datasets.
  • Develop distributed computing infrastructure to support complex modelling and analytics workloads.
  • Partner closely with Quant Researchers, Quant Developers, and Portfolio Managers to solve technical problems.
  • Continuously improve system reliability, performance, scalability, and developer productivity.

Kenntnisse

Python
Java
C++
C#
Go
Rust

Tools

Databases
Distributed systems

Jobbeschreibung

Global Quantitative Investment Firm is seeking a Software Engineer to design, build, and operate distributed systems powering investment research and execution platforms. This on-site role in New York offers ownership of critical components used by researchers, traders, and engineers to scale across global markets.

You will work on high-performance systems, research platforms, and backtesting engines, collaborating with quantitative teams to deploy new ideas and ensure reliability and

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