PBG Strats Mortgage Strategist - Vice President/Assistant Vice President

Morgan Stanley • New York, NY

5d

About The Position

Morgan Stanley’s PBG Strats group is seeking an Assistant Vice President/Vice President level Mortgage Strategist. PBG Strats models a wide range of financial products including bank deposits, mortgage lending, retail and margin lending, and other investment securities. We are looking for a qualified individual to join our fast-paced, collaborative environment. This role combines mortgage model development, performance monitoring, risk analytics, model implementation, and production support. The successful candidate will develop and enhance mortgage product models - including New Origination Volume, Ratelock Pipeline, Prepayment and Default models - as well as associated risk analytics. The role partners closely with portfolio managers, product stakeholders, and technology teams to deliver robust models and tools into production.

Requirements

• Advanced degree (Ph.D. preferred) in a quantitative field (STEM), with a focus on Statistics / Data Science preferred, or equivalent relevant experience.
• Strong programming skills in Python (including PySpark) for data analysis, modeling workflows, and automation.
• Strong C++ development experience and debugging skills.
• Strong database and data platform experience (SQL; Databricks and Snowflake; plus platforms such as Dataiku).
• Familiarity with fixed-income instruments; mortgage expertise strongly preferred.
• Experience supporting applications/models across SDLC environments (QA/UAT/PROD) and applying operational best practices.
• Excellent communication, collaboration, and relationship-management skills, including the ability to engage senior stakeholders in both written and verbal formats.

Nice To Haves

• mortgage expertise strongly preferred

Responsibilities

• Develop and enhance mortgage product models for New Origination, Ratelock Pipeline, Prepayment and Default probabilities using advanced statistical and quantitative techniques; conduct model diagnostics, back-testing, and documentation to support model governance.
• Engineer, curate, and analyze large-scale, multi-source datasets (loan-, borrower-, and macro-level) to identify drivers of behavior, validate assumptions, and improve model performance.
• Build model performance monitoring and reporting tools.
• Implement models into analytics platforms used for pricing, valuation, and risk calculations; optimize for scalability, accuracy, and runtime performance.
• Support model execution across QA/UAT/Production environments, including troubleshooting, debugging, and ongoing production support.
• Ensure adherence to internal model risk standards and regulatory requirements, including CCAR-related governance and reporting needs.

Benefits

• commission earnings
• incentive compensation
• discretionary bonuses
• other short and long-term incentive packages
• other Morgan Stanley sponsored benefit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level