Junior Quant Developer - DevOps (Fresh Grad Welcome)

We are looking for a Quantitative Developer to develop and maintain systems that bring algorithmic trading strategies into production. You’ll work closely with traders to automate execution, monitor performance, and ensure risk controls. Strong skills in Python or C++, familiarity with Linux/Unix, and the ability to solve problems under pressure are essential.

Responsibilities:

• Design and implement automated solutions that convert trading strategies into efficient execution pipelines.
• Create specialized features and dashboards to aid traders in monitoring strategy performance and ensuring compliance with risk parameters.
• Take ownership of the production environment by:
  • Applying software engineering best practices to automate operational tasks and reduce manual interventions.
  • Enhancing architecture to support system scalability and performance.
  • Conducting detailed, blameless post-incident reviews to continuously improve platform reliability.
• Build and maintain a comprehensive suite of algorithmic trading components and alpha models.
• Develop and support production monitoring systems and operational tools vital to the trading platform.
• Maintain and improve simulation and backtesting frameworks used to test and validate trading strategies.
• Help define and enforce risk filters for each trading model to prevent unintended behaviours.
• Oversee the stable deployment and operation of trading models during market hours.
• Analyze, troubleshoot, and enhance the performance of trading engines and execution systems.
• Collaborate on the design and tuning of infrastructure to support optimal execution for various strategies.
• Coordinate infrastructure upgrades and changes with IT and production support teams.
• Ensure all software and tooling comply with local regulatory requirements.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent hands-on experience.
• Proven ability to resolve technical issues under time pressure.
• Strong analytical and debugging skills.
• Excellent verbal communication and collaboration capabilities.
• Experience programming in C++ and/or Python, with familiarity in relevant libraries and frameworks.
• Previous experience supporting systems in a Linux/Unix production environment.