Senior Pricing Quant in London

Company Description

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.

Group Details

We are looking for a Senior Pricing Algorithm Quant to design, build, and deploy AI-powered pricing models for emerging markets fixed income and rates products. You will work at the intersection of quantitative modeling, machine learning, and market microstructure — developing algorithms that price instruments accurately in environments characterized by low liquidity, data sparsity, FX volatility, and evolving regulatory frameworks. This is a high-impact, cross-functional role sitting within our AI group, working closely with traders, product managers, and regional market specialists.

Job Responsibilities

• 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.

Qualifications Required

• 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.

Preferred

• 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.

Additional Information

We offer a comprehensive range of benefits to support our employees at every stage of life and career. Our programs include enhanced parental leave, family-building and postpartum support through Maven, subsidised gym membership and a wide range of learning and development opportunities, to name a few! While specific offerings may vary by location, our teams will be happy to provide more detailed information about the benefits available in your region as you move through the recruitment process.