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Quant Modeler - Securitized Products - Global Bank

salary Salary :

$175,000 - 250,000 yearly

Job Description - Quant Modeler - Securitized Products - Global Bank




If you are you an experienced quantitative modeler with expertise in Asset Backed Securities, Structured Credit and Securitized Products, we have an exciting opportunity with a major global bank. 







In this role, you'll be part of a team that develops and implements cutting-edge models that drive credit risk strategy across traditional and non-traditional asset classes.







What You’ll Do



- Collaborate directly with the trading desk to research, develop, and implement mathematical models for ABS valuation and risk.



- Evaluate variables impacting credit risk and communicate insights across departments.



- Apply quantitative analysis and technology-based tools to monitor, measure, and manage credit risks.



- Document models and products with precision and clarity.



- Redesign processes to enhance credit risk management and resolution strategies.



- Ensure compliance with internal credit risk policies, procedures, and guidelines.






































Requirements



Qualifications







- An advanced degree in mathematics, physics, engineering, or computer science.







- Strong programming skills and analytical mindset.







- At least 2 years of modeling experience relevant to securitized products.







- Strong independent work ethic and collaborative team spirit.











Location Requirement: 







This role is based onsite in Lower Manhattan. To ensure effective collaboration and timely responsiveness, we are only considering candidates who currently reside within a reasonable commuting distance.






Benefits



- Competitive compensation, bonuses, and benefits.  Estimated base salary range for this position is $175,000 - $250,000. The final compensation will be determined by factors including the candidate's skills, qualifications, and years of experience, as well as internal equity and market data. 







- Opportunities for advancement.







- Opportunities to make a lasting impact on a high-performing team.







- Challenging work with meaningful client relationships.



















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