Senior Quantitative Software Engineer — Production Python for Risk

Depository Trust & Clearing Corporation; Jersey City (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

DTCC in New Jersey is seeking a Quantitative Software Engineer to deliver production-ready Python solutions that support critical quantitative risk initiatives. You will work at the intersection of software engineering, data engineering, and applied statistics, translating complex models into scalable, maintainable systems used for real-world financial decision-making.

Collaborating with a global risk team, you will implement models, build data pipelines with Python and Snowflake, and own

Qualifications

• Bachelor’s degree or equivalent practical experience in a related field.
• Minimum of 6 years of related experience in quantitative software or risk modeling.

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.

Skills

Python development

Quantitative modeling

Statistics

Agile methods

Communication

Education

Bachelor’s degree or equivalent

Tools

Snowflake

Job description

DTCC in New Jersey is seeking a Quantitative Software Engineer to deliver production-ready Python solutions that support critical quantitative risk initiatives. You will work at the intersection of software engineering, data engineering, and applied statistics, translating complex models into scalable, maintainable systems used for real-world financial decision-making.

Collaborating with a global risk team, you will implement models, build data pipelines with Python and Snowflake, and own