Senior Quantitative Software Engineer
The Information Technology Group
The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. They deliver high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.
Pay and Benefits
Competitive compensation, including base pay and annual incentive
Comprehensive health and life insurance and well-being benefits, based on location
Pension / Retirement benefits
Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Workplace Culture
DTCC fosters a thriving internal community and is committed to creating a workplace that looks like the world that we serve.
The Impact You Will Have in This Role
As a Quantitative Software Engineer, you will play a key role in designing and delivering production-grade Python solutions that support critical quantitative risk initiatives, that strengthen the Financial Risk Management posture of DTCC.
Your Primary Responsibilities
- Implement and productionize quantitative, statistical, and mathematical models using Python
- Engineer and maintain scalable solutions that run reliably in production environments
- Support quantitative risk model implementations to support the Financial Risk Management department
- Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases
- Translate existing analytical, statistical, or theoretical models into clean, maintainable Python code
- Own solutions end-to-end, from model implementation through deployment, monitoring, and production support
- Collaborate closely with quantitative analysts, risk partners, and global stakeholders
- Contribute within an Agile development environment, following strong engineering and control practices
- Ensure solutions meet standards for performance, reliability, documentation, and operational controls
Talent Needed for Success
- Strong experience in Python software development for analytical model implementation, building production-grade code (beyond scripting or notebooks)
- Hands-on experience working with quantitative, statistical, or mathematical models
- Solid foundation in statistics, data analysis, or quantitative concepts
- Background in financial services, risk management, capital markets, or related domains
- Experience working within an Agile delivery model
- Strong communication skills and ability to collaborate across global teams
- Experience supporting production systems, including L3 support when required
Nice to Have Skills
- Experience implementing or productionizing risk, capital, or liquidity models
- Exposure to AI / machine learning concepts (baseline understanding; this is not a data scientist or research role)
- Prior experience supporting quantitative risk management teams
- Experience converting academic or theoretical models into reliable production software