

Senior Quantitative Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Analyst focused on Fixed Income and Market Risk in NYC, NY. It offers a 6+ month contract, requiring expertise in fixed income modeling, Python programming, and ServiceNow Developer Certification. Advanced degree and 7-10 years' experience needed.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 24, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, United States
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π§ - Skills detailed
#Mathematics #Computer Science #Programming #Python #Model Validation #Compliance #Documentation #Statistics
Role description
Position: Senior Quantitative Analyst-Fixed Income and Market Risk
Location: NYC, NY (Need local candidates only) (3days Onsite)
Duration: 6+Months Contract
Sample Job Titles: use this
β’ Senior Quantitative Analyst - Fixed Income and Market Risk
β’ Senior Quantitative Risk Modeler β Fixed Income
β’ Director β Market Risk Modeling
β’ Senior Fixed Income Quantitative Analyst
β’ Senior Quantitative Analyst β Market Risk & Pricing
β’ Senior Risk Model Validation Specialist β Fixed Income
Mandatory Skills:
β’ Fixed Income Modeling and Risk Modeling
β’ Market Risk Concepts (VaR, Greeks, PnL attribution)
β’ Python Programming for Quantitative Finance
β’ Model Validation and Regulatory Compliance (e.g SR 11-7)
ServiceNow Developer Certification is mandatory
JD:
β’ Proven experience in pricing and risk modeling for fixed income trading products, with a focus on leveraged loans.
β’ Strong understanding of model theory, calibration techniques, and dynamics of one-factor interest rate models, including the Hull-White model.
β’ Advanced Python programming skills, with hands-on experience in testing financial models.
β’ Experience with Numerix or comparable vendor-based modeling systems.
β’ Proficient in designing and validating Profit and Loss (PnL) attribution frameworks.
β’ Deep knowledge of market risk concepts and regulatory standards, including Value at Risk (VaR) using historical simulation, model sensitivity analysis (Greeks), and model validation practices aligned with SR 11-7 guidelines.
β’ Demonstrated expertise in model development documentation, and implementation guides.
β’ Excellent communication skills β both verbal and written.
β’ Collaborative Team player with a proven track record of taking initiative and delivering results.
β’ Excellent skills with Excel, Word and PowerPoint are mandatory.
β’ Advanced degree (Masterβs or Ph.D.) in a quantitative discipline such as Finance, Engineering, Physics, Mathematics, Statistics, Computer Science, or Quantitative Finance, with a strong background in modeling.
β’ Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.
Position: Senior Quantitative Analyst-Fixed Income and Market Risk
Location: NYC, NY (Need local candidates only) (3days Onsite)
Duration: 6+Months Contract
Sample Job Titles: use this
β’ Senior Quantitative Analyst - Fixed Income and Market Risk
β’ Senior Quantitative Risk Modeler β Fixed Income
β’ Director β Market Risk Modeling
β’ Senior Fixed Income Quantitative Analyst
β’ Senior Quantitative Analyst β Market Risk & Pricing
β’ Senior Risk Model Validation Specialist β Fixed Income
Mandatory Skills:
β’ Fixed Income Modeling and Risk Modeling
β’ Market Risk Concepts (VaR, Greeks, PnL attribution)
β’ Python Programming for Quantitative Finance
β’ Model Validation and Regulatory Compliance (e.g SR 11-7)
ServiceNow Developer Certification is mandatory
JD:
β’ Proven experience in pricing and risk modeling for fixed income trading products, with a focus on leveraged loans.
β’ Strong understanding of model theory, calibration techniques, and dynamics of one-factor interest rate models, including the Hull-White model.
β’ Advanced Python programming skills, with hands-on experience in testing financial models.
β’ Experience with Numerix or comparable vendor-based modeling systems.
β’ Proficient in designing and validating Profit and Loss (PnL) attribution frameworks.
β’ Deep knowledge of market risk concepts and regulatory standards, including Value at Risk (VaR) using historical simulation, model sensitivity analysis (Greeks), and model validation practices aligned with SR 11-7 guidelines.
β’ Demonstrated expertise in model development documentation, and implementation guides.
β’ Excellent communication skills β both verbal and written.
β’ Collaborative Team player with a proven track record of taking initiative and delivering results.
β’ Excellent skills with Excel, Word and PowerPoint are mandatory.
β’ Advanced degree (Masterβs or Ph.D.) in a quantitative discipline such as Finance, Engineering, Physics, Mathematics, Statistics, Computer Science, or Quantitative Finance, with a strong background in modeling.
β’ Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.