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Manager, Software Developer - Quantitative Market Risk

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Hybrid

Manager, Software Developer - Quantitative Market Risk

Ladders

Manager, Software Developer - Quantitative Market Risk

Skills

Google Cloud PlatformSQL QueriesDockerPythonMicroservicesSnowflakeAWSComplianceRegulatory Compliance

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Hybrid

Published on:

8 September 2026

What they need


For our client, we are seeking a Manager, Software Developer - Quantitative Market Risk to join the team of a leader in the Finance & Insurance space.

This role will lead the design and implementation of advanced market risk software that supports quantitative analysis, regulatory requirements, and portfolio-level decision-making. The manager will partner with finance, engineering, and compliance stakeholders to operationalize risk calculations and deliver reliable tools for a fast-moving financial environment. The work will focus on building scalable models and workflows that improve risk visibility, strengthen controls, and support informed client outcomes.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $125,000 – $150,000 annually

Responsibilities

  • Design, code, and backtest advanced risk models, including VaR and stress testing engines
  • Implement options pricing models and related financial product calculations
  • Operationalize CIRO 5000 margin rules into engines that calculate stressed margin requirements
  • Develop modular Python code and optimized SQL pipelines for processing financial datasets
  • Build and deploy Dockerized microservices, managing CI/CD workflows and real-time troubleshooting
  • Create technical documentation for regulatory compliance and mentor junior team members

Qualifications

  • 7–10+ years in quantitative development in financial services, ideally within CIRO regulations
  • In-depth expertise in options pricing, volatility surfaces, and market risk metrics
  • Strong software engineering skills, including Git, Docker, and REST APIs
  • Proficient in SQL and experienced with cloud data warehouses like Snowflake and BigQuery
  • Experience deploying models to AWS/GCP via automated pipelines
  • Demonstrated leadership in managing technical projects and directing a small team

Benefits

  • Flexible hybrid work environment that promotes work-life balance
  • Opportunities for professional development and continuous learning
  • Access to advanced tools and technology for cutting-edge quantitative analysis
  • Collaborative team culture emphasizing high ownership and impact
  • Direct contribution to improving financial experiences for millions of clients

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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