Job DescriptionThe Impact You Will Have in This RoleAs 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.
This role sits at the intersection of
software engineering, data engineering, and applied statistics, translating complex mathematical and statistical models into
scalable, maintainable systems used in real-world financial decision-making. You will work closely with a
globally distributed quantitative risk team, contributing solutions that are reliable, performant, and production-ready.
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
- Provide L3 production support on an as-needed basis via PagerDuty (issue-based coverage; no fixed on-call rotation)
- Contribute within an Agile development environment, following strong engineering and control practices
- Ensure solutions meet standards for performance, reliability, documentation, and operational controls
Qualifications - Bachelor's degree preferred or equivalent practical experience
- Minimum of 6 years of related experience
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
- Experience with Snowflake or similar cloud-based data platforms
- 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
The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.
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About the TeamServes as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.
