Vice President, Senior Pricing Quant

Company Description

Tradeweb is a global leader in electronic trading for rates, credit, equities, and money markets. 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 $2.2 trillion over the past four fiscal quarters, topping $2.5 trillion in ADV for the first quarter of 2025.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues - and 2024 was our 25th consecutive year of record revenues.

Tradeweb is a great place to work, recognized in 2024 by Forbes as one of America's Best Companies (2024) 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.

• Design and own end-to-end AI/ML pricing algorithms for emerging market debt fixed income products with specific focus on Global EM local government, local corporates, and hard currency (credit) bonds.
• Build models that handle sparse data, illiquid markets, and high-volatility FX environments
• Develop and maintain real-time and pre-trade pricing engines, integrating alternative data sources where traditional market data is limited
• Partner with traders and regional desks to validate model outputs and incorporate market intuition into algorithmic frameworks
• Conduct rigorous backtesting, performance attribution, and ongoing calibration of pricing models
• Contribute to Tradeweb's broader AI pricing platform, ensuring EM models align with global architecture standards
• Collaborate with technology teams to deploy models into production at low latency

• 5+ years of experience in quantitative research, algorithmic pricing, or ML-based financial modeling in a trading, fintech, or market infrastructure environment
• Deep understanding of fixed income pricing, yield curve construction, and credit/rates instruments
• Strong ML engineering skills: Python (NumPy, pandas, scikit-learn, PyTorch or TensorFlow), time-series modeling, and statistical inference
• Experience working with noisy, sparse, or illiquid market data
• Familiar with government or credit bond market structure, emerging market specific understanding is beneficial.
• Track record of deploying models to production in a live trading or pricing environment

• Direct experience pricing EM local currency bonds, sovereign debt, or EM derivatives
• Knowledge of EM-specific data sources (e.g., local exchanges, central bank data, alternative pricing vendors)
• Experience with real-time pricing systems and low-latency infrastructure
• Advanced degree (Master's or PhD) in Computer Science, Financial Engineering, Mathematics, Physics, or a related quantitative field
• Multilingual skills a plus

• Pre-Tax Commuter Benefits Program
• ARAG Legal Services
• Employee Assistance Program
• Tuition Reimbursement
• Financial Wellness Tools
• Travel Assistance Benefits
• Pet Insurance
• Corporate Gym Subsidies
• Wellness Perks
• Paid Time Off and Parental Leave