

Senior Quantitative Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Analyst focusing on fixed income and market risk in NYC, NY. Contract length is unspecified, with a pay rate of "unknown." Key skills include advanced Python, model validation, and a minimum of 7-10 years in financial services.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 7, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Computer Science #Programming #Python #Documentation #Statistics #Mathematics #Model Validation
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, HAN IT Staffing Inc., is seeking the following. Apply via Dice today!
Senior Quantitative Analyst - Fixed Income and Market Risk
Location :NYC, NY (Need local candidates only) (3days Onsite)
Type of Hire - Contract/ C2H :Contract
Job Description :
Proven experience in pricing and risk modeling for fixed income trading products, with a focus on leveraged loans.
Strong understanding of model theory, calibration techniques, and dynamics of one-factor interest rate models, including the Hull-White model.
Advanced Python programming skills, with hands-on experience in testing financial models.
Experience with Numerix or comparable vendor-based modeling systems.
Proficient in designing and validating Profit and Loss (PnL) attribution frameworks.
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.
Demonstrated expertise in model development documentation, and implementation guides.
Excellent communication skills both verbal and written.
Collaborative Team player with a proven track record of taking initiative and delivering results.
Excellent skills with Excel, Word and PowerPoint are mandatory.
Advanced degree (Master s 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.
Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, HAN IT Staffing Inc., is seeking the following. Apply via Dice today!
Senior Quantitative Analyst - Fixed Income and Market Risk
Location :NYC, NY (Need local candidates only) (3days Onsite)
Type of Hire - Contract/ C2H :Contract
Job Description :
Proven experience in pricing and risk modeling for fixed income trading products, with a focus on leveraged loans.
Strong understanding of model theory, calibration techniques, and dynamics of one-factor interest rate models, including the Hull-White model.
Advanced Python programming skills, with hands-on experience in testing financial models.
Experience with Numerix or comparable vendor-based modeling systems.
Proficient in designing and validating Profit and Loss (PnL) attribution frameworks.
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.
Demonstrated expertise in model development documentation, and implementation guides.
Excellent communication skills both verbal and written.
Collaborative Team player with a proven track record of taking initiative and delivering results.
Excellent skills with Excel, Word and PowerPoint are mandatory.
Advanced degree (Master s 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.
Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.