C# Quant Trading Systems Engineer (Sydney on-site)

BAH Partners Limited

Sydney

On-site

AUD 120,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Health benefits
Bonus package

Job summary

BAH Partners Limited in Sydney is seeking a C# Developer to join the Trading technology team, building high-performance distributed systems and real-time market monitoring tools for Asian markets, from Japan to India.

You will work directly with traders, quantitative researchers and engineers to implement trading models and signals and develop technology that supports rapid, informed trading decisions.

Qualifications

  • Degree in Computer Science or equivalent.
  • Minimum 2 years of professional C# development.
  • Experience building complex production systems.
  • Interest in financial and quantitative trading systems.
  • Ability to collaborate with traders, researchers and engineers.

Responsibilities

  • Develop high-performance C# trading systems, including distributed server-side platforms and front-end apps.
  • Build technology for processing and monitoring real-time market activity.
  • Develop systems that support rapid trading decisions and intelligent order execution.
  • Work closely with quantitative researchers to implement trading models and signals.
  • Partner with traders to understand requirements and improve trading efficiency.
  • Collaborate with other engineering teams to deliver integrated trading solutions.
  • Support trading strategies across Asian, US, and European markets.

Skills

C# programming
Distributed systems
Team collaboration

Education

Degree in Computer Science

Tools

WPF
Cloud technologies
Linux
Python
C++

Job description

BAH Partners Limited in Sydney is seeking a C# Developer to join the Trading technology team, building high-performance distributed systems and real-time market monitoring tools for Asian markets, from Japan to India.

You will work directly with traders, quantitative researchers and engineers to implement trading models and signals and develop technology that supports rapid, informed trading decisions.

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