Quantitative Data Scientist - Mortgages (VP)

Selby Jennings; New York (NY); On-site; USD 200,000 - 250,000; Full time

Job summary

A leading financial firm in New York is seeking a Vice President of Data Science specializing in mortgage analytics. This role involves developing and applying AI/ML models to enhance mortgage modeling and predictive analytics. Ideal candidates will have an advanced degree in a quantitative field and experience in AI/ML solutions related to financial modeling. Join a dynamic quantitative team to drive innovation for risk management and trading strategies.

Qualifications

• Advanced knowledge in financial modeling, especially in mortgages.
• Experience in applying AI/ML techniques in quantitative analysis.
• Proficiency in managing large datasets and advanced modeling techniques.

Responsibilities

• Develop AI/ML models for mortgage prepayment and default forecasting.
• Collaborate with various teams to provide data-driven solutions.
• Integrate new datasets and improve modeling approaches.

Skills

AI/ML model development

Programming in Python

Data governance

Time-series forecasting

Predictive modeling

Education

Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics

Job description

Quantitative Data Scientist - Mortgages (VP)

Job Title: Vice President – Mortgages Data Scientist
Location: New York, NY

Base Pay Range: $200,000 – $250,000 per year.

We are seeking a Vice President of Data Science with expertise in mortgage analytics to join a leading quantitative team. This role focuses on applying advanced AI/ML techniques to mortgage modeling and predictive analytics, driving innovation that informs trading strategies and risk management.

Key Responsibilities

• Develop and deploy AI/ML models for mortgage prepayment and default forecasting to enhance decision‑making.
• Partner with trading, research, technology, and risk teams to deliver data‑driven solutions.
• Explore and integrate new datasets, alternative data sources, and cutting‑edge modeling approaches to improve accuracy and insight.
• Maintain rigorous model governance and performance monitoring aligned with industry best practices.
• Provide thought leadership in data science and mortgage analytics, mentoring junior team members and promoting best practices.

Required Qualifications

• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• Demonstrated experience implementing AI/ML solutions in financial modeling, preferably within mortgages or structured products.
• Strong programming proficiency in Python.
• Solid understanding of fixed‑income instruments and structured finance concepts.
• Ability to manage large, complex datasets and apply advanced techniques for time‑series forecasting and predictive modeling.