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# Quantitative Software Engineer

- **Company:** The Depository Trust & Clearing Corporation
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Information Engineering, Relational Databases, Python (Programming Language), Machine Learning, Software Engineering, Cloud Platform System, Snowflake, Production Code, Pagerduty
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/dtcc/senior-quantitative-software-engineer

## About the Role

* 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

## Description

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., * 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


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