Home › Companies › Ecnf Fa Us2 Oraclecloud Com CX › Senior Pricing Quant
Senior Pricing Quant
Ecnf Fa Us2 Oraclecloud Com CX · New York, NY, United States; US - Remote - NY · Remote · Deleted · $150,000–$250,000 / year · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Ecnf Fa Us2 Oraclecloud Com CX |
| Title | Senior Pricing Quant |
| Normalized title | - |
| Department / team | - |
| Location | New York, NY, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $150,000–$250,000 / year |
| Status | deleted |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-01 / 2026-05-31 |
| Changed / last seen | 2026-06-04 / 2026-06-02 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ecnf Fa Us2 Oraclecloud Com CX. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ecnf Fa Us2 Oraclecloud Com CX |
| Source | 8fa0cc61-7d91-48b7-94d7-31fdbadc749f |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
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 .
Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.
Workplace Posters | U.S. Department of Labor
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
Full job record
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| Org ID | d9d4f726-dd26-4e37-8fa3-4841eb0a6154 |
| Source ID | 8fa0cc61-7d91-48b7-94d7-31fdbadc749f |
| Board ID | 8fa0cc61-7d91-48b7-94d7-31fdbadc749f |
| Provider | oracle_hcm |
| Provider Job Key | 301700 |
| Title | Senior Pricing Quant |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | New York, NY, United States; US - Remote - NY |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | 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 |
| Salary Min | 150,000 |
| Salary Max | 250,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://ecnf.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/301700 |
| Apply URL | https://ecnf.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/301700 |
| First Seen At | 2026-05-31 18:05:45Z |
| Last Seen At | 2026-06-02 12:02:44Z |
| Last Checked At | 2026-06-04 10:41:51Z |
| Last Changed At | 2026-06-04 10:41:51Z |
| Inactive At | 2026-06-04 10:41:51Z |
| Source Posted At | 2026-05-01 15:44:23Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=ecnf.fa.us2.oraclecloud.com|CX/date=2026-06-02/2026-06-02T12-02-39-574Z-5d0e93bb5eecee6444ecb3750b6176638677226794eeb9df16d11f67aeac5300.json |
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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.</span></p>\n<p><span>Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.</span></p>\n<p><span>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 <i>America’s Best Companies</i> and by U.S. News & World Report as one of the <i>Best Financial Services Companies to Work For</i>.</span></p>\n<p><span>Tradeweb Markets LLC (\"Tradeweb\") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.</span></p>\n<p><a href=\"https://www.dol.gov/general/topics/posters\" target=\"_blank\" rel=\"nofollow\"><span>Workplace Posters | U.S. Department of Labor</span></a></p>\n<p><b>Group Details</b></p>\n<p>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.</p>\n<p>This is a high-impact, cross-functional role sitting within our AI group, working closely with traders, product managers, and regional market specialists.</p>\n<p><b>Job Responsibilities</b></p>\n<ul>\n <li>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.</li>\n <li>Build models that handle sparse data, illiquid markets, and high-volatility FX environments</li>\n <li>Develop and maintain real-time and pre-trade pricing engines, integrating alternative data sources where traditional market data is limited</li>\n <li>Partner with traders and regional desks to validate model outputs and incorporate market intuition into algorithmic frameworks</li>\n <li>Conduct rigorous backtesting, performance attribution, and ongoing calibration of pricing models</li>\n <li>Contribute to Tradeweb's broader AI pricing platform, ensuring EM models align with global architecture standards</li>\n <li>Collaborate with technology teams to deploy models into production at low latency</li>\n</ul>\n<p><b>Qualifications</b></p>\n<ul>\n <li>Minimum of 5 years of experience in quantitative research, algorithmic pricing, or ML-based financial modeling in a trading, fintech, or market infrastructure environment</li>\n <li>Deep understanding of fixed income pricing, yield curve construction, and credit/rates instrument</li>\n <li>Strong ML engineering skills: Python (NumPy, pandas, scikit-learn, PyTorch or TensorFlow), time-series modeling, and statistical inference</li>\n <li>Experience working with noisy, sparse, or illiquid market data</li>\n <li>Familiar with government or credit bond market structure, emerging market specific understanding is beneficial.</li>\n <li>Track record of deploying models to production in a live trading or pricing environment</li>\n</ul>\n<p><b>Preferred</b></p>\n<ul>\n <li>Direct experience pricing EM local currency bonds, sovereign debt, or EM derivatives</li>\n <li>Knowledge of EM-specific data sources (e.g., local exchanges, central bank data, alternative pricing vendors)</li>\n <li>Experience with real-time pricing systems and low-latency infrastructure</li>\n <li>Advanced degree (Master's or PhD) in Computer Science, Financial Engineering, Mathematics, Physics, or a related quantitative field</li>\n <li>Multilingual skills a plus </li>\n</ul>\n<p><b>Additional Information</b></p>\n<p>Tradeweb is committed to providing valuable and competitive benefits. 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