Senior Pricing Quant
Tradeweb, New York, NY, United States
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
Minimum of 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 instrument
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 Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:
Health Insurance : Highly competitive medical, dental, and vision programs
Hybrid Environment : Our employees have the flexibility of working in the office and from home.
Health Care and Dependent Care Flexible Spending Accounts : You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.
Maven Family Building Benefit : Maven offers support for fertility and preconception; pregnancy and post‑partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.
Building Wealth - 401(k) Savings Plan : Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.
The current pay range for this role if performed in the city of New York is currently $150,000 to $250,000 per year, based on a regular, full‑time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.
Other Benefit Programs
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
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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
Minimum of 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 instrument
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 Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:
Health Insurance : Highly competitive medical, dental, and vision programs
Hybrid Environment : Our employees have the flexibility of working in the office and from home.
Health Care and Dependent Care Flexible Spending Accounts : You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.
Maven Family Building Benefit : Maven offers support for fertility and preconception; pregnancy and post‑partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.
Building Wealth - 401(k) Savings Plan : Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.
The current pay range for this role if performed in the city of New York is currently $150,000 to $250,000 per year, based on a regular, full‑time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.
Other Benefit Programs
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
#J-18808-Ljbffr