Skill Matrix to be filled by Candidates:
Mandatory Skills | Years of Experience | Year Last Used | Rating Out of 10 |
Fixed Income Modeling and Risk Modeling | | | |
Market Risk Concepts (VaR Greeks PnL attribution) | | | |
Python Programming for Quantitative Finance | | | |
Model Validation and Regulatory Compliance (e.g SR 11-7 | | | |
Position Details | Requirement |
Role | Senior Quantitative Analyst - Fixed Income and Market Risk |
Location (Need Local Candidates only) | NYC NY (Need local candidates only) 3days Onsite) |
Type of Hire - Contract/ C2H | Contract |
Job Description | 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.
|
Fixed Income Modeling and Risk Modeling,Python