VP Machine Learning Quant (Mortgages) jobs in United States
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Selby Jennings ยท 3 days ago

VP Machine Learning Quant (Mortgages)

Selby Jennings is seeking a VP Machine Learning Quant specializing in Global Mortgages and Securitized Products. This role focuses on applying advanced AI/ML techniques to transform mortgage analytics, trading strategies, and risk management, while leading innovation in the field.

BankingEmploymentRecruiting
Hiring Manager
Mike Madsen
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Responsibilities

AI/ML Model Development: Design and implement advanced ML models for mortgage prepayment and default forecasting, leveraging deep learning, NLP, and generative AI
LLM Applications: Develop and deploy LLM-based solutions (e.g., ChatGPT-style models) for automating research workflows, extracting insights from unstructured mortgage data, and enhancing decision-making
Data Engineering & Feature Innovation: Integrate traditional mortgage datasets with alternative data sources; build pipelines for large-scale, high-dimensional data
Model Governance & Performance: Ensure compliance with model risk standards (SR 11-7) and maintain robust monitoring for accuracy and stability
Cross-Functional Collaboration: Work closely with Trading, Research, Technology, and Risk teams to embed ML-driven insights into pricing, hedging, and portfolio strategies
Thought Leadership: Drive innovation in AI/ML for structured finance; mentor junior talent and contribute to best practices in generative AI applications

Qualification

Machine LearningDeep LearningNatural Language ProcessingPythonLarge Language ModelsData EngineeringFixed-Income ProductsCloud PlatformsModel Risk GovernanceReinforcement Learning

Required

Advanced degree (Ph.D. or Master's) in Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
Hands-on experience implementing AI/ML solutions, including deep learning and NLP, ideally in mortgages or structured products
Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch)
Solid understanding of fixed-income products, mortgage modeling, and securitized markets
Experience working with large, complex datasets and applying ML techniques for time-series forecasting and predictive modeling

Preferred

Experience building and fine-tuning LLMs for financial applications
Familiarity with cloud platforms (AWS, Azure) and distributed computing
Knowledge of model risk governance and regulatory requirements
Exposure to reinforcement learning or generative AI for trading strategy optimization

Company

Selby Jennings

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Global recruitment firm specialising in Banking

Funding

Current Stage
Late Stage
Company data provided by crunchbase