Senior Quantitative Analyst

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - 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 – Fixed Income β€’ Director – Market Risk Modeling β€’ Senior Fixed Income Quantitative Analyst β€’ Senior Quantitative Analyst – Market Risk & Pricing β€’ Senior Risk Model Validation Specialist – 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 – 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 (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. β€’ Minimum of 7-10 years of experience in developing and/or validating trading book market risk models within the financial services industry.