Quant Developer

An experienced Principal Quant Developer who will support the review, optimization, and improvement of the team's existing margining models and risk management systems. You will work closely with QRM, IT Risk, and business teams to enhance model quality, strengthen risk practices, and guide the internal engineering teams., * Evaluate the performance and implementation of existing margin models by reviewing architecture and conducting detailed code assessments.

• Identify opportunities for optimization, enhancement, and risk mitigation, offering recommendations to QRM and IT Risk teams.
• Support low-level solution architecture and contribute to planning improvements to the current margining models.
• Enable accurate, reliable, and compliant margining processes through close collaboration across risk, IT, and business stakeholders.
• Troubleshoot and resolve system issues to maintain performance and operational stability.
• Train the team engineering team on market-standard model implementation practices and help establish an effective way of working between QRM and IT Risk., As a Principal Quant Developer, you are responsible for ensuring the effective operation, maintenance, and continuous improvement of the team's margining models across all asset classes. You will work with existing monolithic applications, ensuring robust risk practices and high-performance model implementation., * Review and assess the end-to-end architecture and detailed implementation of existing margin models.
• Lead requirements analysis and guide the design process for enhancements.
• Perform ongoing code reviews and mentor IT Risk Engineers throughout the implementation.
• Collaborate with QRM, quants, IT developers, and business teams to align technical and risk objectives.
• Drive model accuracy, system performance, and overall reliability.

Do you have experience in Risk management?, Do you have a Master's degree?, * 7+ years as a Quant Developer.

• Minimum 4 years' experience building market or counterparty risk systems in C++.
• Background working with cross-functional teams in quantitative and risk-driven environments.
• Experience reviewing, guiding, and uplifting existing engineering teams is highly preferred.

Profile

• Strong understanding of quantitative concepts such as curve bootstrapping, implied volatilities, and standard pricing models.
• Solid knowledge of linear products and plain vanilla options, including basic pricing fundamentals.
• Able to lead design discussions, mentor engineers, and bring industry-standard development practices.
• Capable of working in a short-term, high-impact engagement where guidance, code review, and architecture leadership are key deliverables.
• Master of Science degree in a STEM field.