Quantitative Developer

Quantitative Developer Risk Platform Infrastructure

What You'll Do

• Own the architecture, design, and delivery of the quant infrastructure powering front-office risk and analytics.
• Build scalable frameworks for valuation, risk, scenario analysis, and lifecycle modeling across multiple asset classes.
• Ensure platform reliability through robust EOD processing pipelines, model calibration workflows, and automated regression testing.
• Implement standards for versioning, model governance, and platform health monitoring to ensure system integrity over time.
• Design flexible infrastructure to support client-specific configurations without compromising performance or maintainability.
• Collaborate with engineering and product teams to align platform design with business and technical requirements.
  

What We Are Looking For

• 3 - 5 years of experience in quantitative development or financial engineering with broad asset class exposure.
• Strong engineering mindset with a focus on system reliability, maintainability, and performance.
• Expertise in Python and familiarity with modern software development practices (CI/CD, testing, observability).
• Experience building and operating quantitative infrastructure in production environmentsespecially for pricing and risk analytics.
• Proven ability to lead and grow technical teams.
• Strong understanding of trade lifecycle modeling, model calibration, and data orchestration in a risk platform context.
  

• Track record of delivering and operating robust quant systems at scale in a front-office or risk platform environment.
• Experience designing systems for automated recovery, failover, and monitoring of analytics jobs.
• Familiarity with distributed computing, EOD risk workflows, and large-scale job orchestration (e.g., Airflow, Prefect).
• Prior experience integrating complex model libraries into production platforms while maintaining reliability and transparency.