Senior Quantitative Software Engineer

DTCC•Jersey City, NJ

1d•Hybrid

About The Position

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. 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. 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.

Requirements

Bachelor’s degree preferred or equivalent practical experience
Minimum of 6 years of related experience
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 Haves

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

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

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.

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