Senior Python Software Engineer; Quantitative Risk

Position: Senior Python Software Engineer (Quantitative Risk)
Job-:
Information Technology

Location:

Jersey City, NJ, United States;
Dallas, TX, United States

Schedule:

Full time Posted:
Salary Range:
Senior Associate-75,-USDFeatured Opportunities:
Yes

FLSA Status:
Exempt Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

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.

Pay and 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.

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).The Impact You Will Have in This Role 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.

Your

Primary Responsibilities:

Implement and product ionize 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 Pager Duty (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…