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Morgan Stanley

PBG Strats Mortgage Strategist - Vice President/Assistant Vice President

Reposted 15 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
85K-190K Annually
Senior level
Hybrid
New York, NY, USA
85K-190K Annually
Senior level
The Mortgage Strategist develops mortgage models, analyzes large datasets, implements models, and ensures compliance with risk standards. Strong collaboration with stakeholders is required.
The summary above was generated by AI

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.

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.

Required Skills:

  • 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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Vice President

Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Assistant Vice President

Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

HQ

Morgan Stanley New York, New York, USA Office

1585 Broadway, New York, NY, United States, 10036

Morgan Stanley New York, New York, USA Office

522 5th Ave, New York, NY, United States

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