Quantitative Modeler, Associate - Securitized Products Modeling Team

About this role

We are seeking an Associate Quantitative Modeler to join the team within Aladdin Financial Engineering (AFE) - Single Security. The team is responsible for the development, enhancement, and governance of models and analytics across a broad range of securitized products, including Agency MBS, Non Agency RMBS, CRT, MSR, CMBS/CRE, ABS/ABF, and CLOs, delivered on the Aladdin platform to internal portfolio teams and external clients. 

This role is ideal for a technically strong quantitative professional who enjoys research and building models, working with large datasets, and partnering closely with investment, risk, technology, and client teams to deliver high quality analytics at scale. 

Key Responsibilities 

• Develop, enhance, and maintain securitized products models using econometric and machine learning/AI techniques. 

• Collaborate with Data, Technology, Portfolio Management, Client, and Risk teams to ensure analytics meet business and client needs. 

• Clearly communicate modeling frameworks, assumptions, and results to both technical and nontechnical audiences; support client discussions by explaining complex analytics and modeling concepts in a clear, intuitive, and practical manner. 

• Perform rigorous validation of model inputs and outputs across development, implementation, and production environments. 

• Play a key role in model risk management, controls, and regulatory compliance; own model performance monitoring frameworks and engage with governance forums. 

• Identify opportunities to automate, streamline, and scale analytical and reporting processes across the modeling platform, enhancing monitoring and reporting workflows through the creative design of tools and applications, including modern AI enabled technologies. 

Qualifications 

• 3-4 years of hands-on experience in quantitative model development and implementation. 

• Strong quantitative background with a degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field. 

• Proficient programming skills in Python, R (or equivalent); C++ familiarity is a plus. 

• Strong communication skills and ability to explain complex analytics clearly. 

• Experience with large datasets, production level analytics, or financial modeling platforms is a plus.  

• Knowledge of securitized products is a plus but not require