Vice President - Model Risk Management

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world?s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues ? and 2025 was our 26th consecutive year of record revenues.

Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America?s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For.

Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.

Group Details

Tradeweb is seeking a Risk Management Vice President to support its Model Risk Governance and Model Management framework. Reporting to the Head of Financial Risk, the successful candidate will help manage day-to-day governance activities for models, calculation engines, pricing logic, analytics and related technology changes that may impact external-facing customer pricing or trading workflow outputs.

This role will work closely with Development, Product, Technology, Quantitative Analytics, Risk and other internal stakeholders. The individual will help ensure proposed changes are reviewed through the appropriate governance process, supported by clear documentation and testing evidence, and remain within the defined parameters of Tradeweb's model risk governance program.

The role is well suited to a candidate with practical quantitative and technology fluency, strong governance discipline and the ability to work directly with technical teams to understand calculation logic, ask informed questions, review testing evidence and escalate control concerns. The successful candidate should be comfortable translating technical issues into clear risk and control considerations for Financial Risk management and governance forums.

Job Responsibilities

• Support the day-to-day operation of Tradeweb's model risk governance and model management framework.
• Maintain model governance records, including model inventory information, risk classifications, review status, documentation, approvals, open issues and remediation actions.
• Work with Development and Product teams to understand new or amended calculation engines, pricing logic, analytics, data inputs, assumptions, dependencies and customer-facing impacts.
• Help ensure model and calculation engine changes follow established governance standards for documentation, review, testing, approval, implementation and ongoing monitoring.
• Review validation and testing evidence at an appropriate level, including the reasonableness of test approach, coverage of key scenarios, evidence quality and traceability to the proposed change.
• Challenge model owners, developers and product teams where documentation, testing or governance evidence is incomplete, unclear or inconsistent with required standards.
• Perform high-level review of implementation logic, code or configuration summaries, data flows and controls to assess whether proposed changes are consistent with approved requirements.
• Escalate material issues, control gaps or delays to the Head of Financial Risk and relevant governance forums.
• Prepare concise reporting on model inventory status, review activity, open findings, remediation progress and emerging model governance themes.
• Support governance review of AI, machine learning, generative AI or agentic workflow use cases where applicable, with focus on use case purpose, controls, oversight, documentation and monitoring.

Qualifications

• BA/BS degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, Information Systems, Business or a related discipline.
• 4-7 years of relevant experience in model governance, model validation, risk management, technology risk, product control, software delivery oversight, data analytics, financial technology or a related financial services role.
• Quantitative aptitude with the ability to understand calculation logic, assumptions, inputs, outputs, limitations and testing results at a practical review level.
• Technology fluency, including comfort discussing systems, data flows, development processes and code or configuration changes with technical teams.
• Experience working with developers,…