Senior Python Software Engineer (Quantitative Risk)

Job-ID: 213387Category: Information TechnologyLocation: Jersey City, NJ, United States; Dallas, TX, United StatesSchedule: Full timePosted: 2026-09-23Salary Range: Senior Associate-75,000-150,000-USDFeatured Opportunities: YesFLSA Status: ExemptAre 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 incentiveComprehensive health and life insurance and well-being benefits, based on locationPension / Retirement benefitsPaid 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 RoleAs 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 productionize quantitative, statistical, and mathematical models using PythonEngineer and maintain scalable solutions that run reliably in production environmentsSupport quantitative risk model implementations to support the Financial Risk Management departmentDesign, build, and maintain data pipelines leveraging Python, Snowflake, and relational databasesTranslate existing analytical, statistical, or theoretical models into clean, maintainable Python codeOwn solutions end‑to‑end, from model implementation through deployment, monitoring, and production supportCollaborate closely with quantitative analysts, risk partners, and global stakeholdersProvide 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 practicesEnsure solutions meet standards for performance, reliability, documentation, and operational controlsQualificationsBachelor’s degree preferred or equivalent practical experienceMinimum of 6 years of related experienceTalent Needed for SuccessStrong 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 modelsExperience with Snowflake or similar cloud‑based data platformsSolid foundation in statistics, data analysis, or quantitative conceptsBackground in financial services, risk management, capital markets, or related domainsExperience working within an Agile delivery modelStrong communication skills and ability to collaborate across global teamsExperience supporting production systems, including L3 support when requiredNice to Have SkillsExperience implementing or productionizing risk, capital, or liquidity modelsExposure to AI / machine learning concepts (baseline understanding; this is not a data scientist or research role)Prior experience supporting quantitative risk management teamsExperience converting academic or theoretical models into reliable production softwareThe salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.About the organizationServes as a dedicated technology resource for advancing DTCC’s business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC’s mission to support the financial markets.About the company With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC’s subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at or connect with us on LinkedIn, X, YouTube, Facebook and Instagram. DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.Learn more about Clearance and Settlement by clicking here.