Desk-Side Options Quant Support Analyst

CMC Markets

Australia

On-site

AUD 90,000 - 130,000

Full time

14 days+
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Job summary

CMC Markets is seeking an Options Quant Support Analyst to join the Quants team in Sydney. You will provide desk-facing functional and technical support between traders, Quants, and IT, while coding Python scripts to automate workflows. This is a hands-on role requiring collaboration across Business Operations and Technology.

Ideal candidates have 2–3 years in front-office support within financial markets and a strong grounding in quantitative finance and Python scripting.

Qualifications

  • Degree in quantitative finance, mathematics, or computer science or equivalent.
  • 2–3 years of experience in front-office support, trading application support or desk-facing technical support in financial markets.
  • Proficient in Python scripting; capable of reading, debugging and enhancing scripts.

Responsibilities

  • Provide desk-facing functional and technical support for the Options trading system and related workflows.
  • Collaborate with Options traders, Quants, Business Operations and Technology, including London-based stakeholders.
  • Develop, maintain and enhance Python scripts and support tools used by the desk and Quants team.
  • Automate repetitive tasks and assist with testing, documentation and runbooks.
  • Gather requirements from Front Office users to shape practical workflow improvements.

Skills

Python scripting
Front-office support
Analytical skills
Communication

Education

Quantitative finance
Mathematics
Computer science

Tools

SQL
Linux
Log analysis

Job description

CMC Markets is seeking an Options Quant Support Analyst to join the Quants team in Sydney. You will provide desk-facing functional and technical support between traders, Quants, and IT, while coding Python scripts to automate workflows. This is a hands-on role requiring collaboration across Business Operations and Technology.

Ideal candidates have 2–3 years in front-office support within financial markets and a strong grounding in quantitative finance and Python scripting.

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