Quantitative Software Engineer - Hybrid, Production-Ready Python

The Depository Trust & Clearing Corporation (DTCC); Jersey City (NJ); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Paid time off

Hybrid work model

Job summary

DTCC in the United States seeks a Quantitative Software Engineer to design and deliver production‑grade Python solutions that support critical quantitative risk initiatives. You will translate complex mathematical models into scalable systems used in real‑world financial decision‑making, collaborating with a globally distributed risk team.

You’ll own end‑to‑end solutions from model implementation through deployment and monitoring, and contribute to an Agile environment with strong engineering

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Minimum of 6 years of related experience.

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

Production systems

Agile methods

Communication

Statistical models

Education

Bachelor's degree or equivalent

Tools

Snowflake

Relational databases

Job description

DTCC in the United States seeks a Quantitative Software Engineer to design and deliver production‑grade Python solutions that support critical quantitative risk initiatives. You will translate complex mathematical models into scalable systems used in real‑world financial decision‑making, collaborating with a globally distributed risk team.

You’ll own end‑to‑end solutions from model implementation through deployment and monitoring, and contribute to an Agile environment with strong engineering