AVP, Special Projects - Hybrid Data & ML Finance

Bayview Asset Management, LLC; New York (NY); Hybrid; USD 190,000 - 195,000; Full time

Job summary

Bayview Asset Management LLC is seeking an AVP, Special Projects in New York to join the research group. You will develop statistical and ML models, forecast defaults, and build cash flow engines for consumer financial products while supporting investment teams.

The role requires a Master’s degree and 4+ years in a data-driven environment, with Python and SQL proficiency, and the ability to communicate complex analyses to stakeholders. Hybrid schedule available.

Qualifications

• Master’s degree in a relevant field and four (4) years of data-driven experience.
• Experience conducting credit analysis on a broad range of consumer financial products.
• Direct deal evaluation across full lifecycle: underwriting, yield analysis, negotiations, term sheets, and legal docs.
• Experience evaluating investment opportunities across deal pipelines with large-scale loan datasets.
• Developing statistical, stochastic, or ML models to forecast defaults etc.
• Leading portfolio surveillance and risk management with dashboards.

Responsibilities

• Analyze performance of consumer financial products and loans.
• Apply statistical or ML methods to uncover borrower and lender behavior trends.
• Develop cash flow engines for consumer financing products.
• Evaluate future cash flows for investments and monitor risk metrics.
• Design dashboards to monitor portfolio performance and key risk indicators.
• Collaborate with investment teams and communicate quantitative insights.

Skills

Analytical thinking

Communication to stakeholders

Dashboard storytelling

Education

Master's degree in hard science, OR, math, CS, engineering, or finance

Tools

Python (pandas, NumPy, SciPy, scikit-learn)

SQL

Job description

Bayview Asset Management LLC is seeking an AVP, Special Projects in New York to join the research group. You will develop statistical and ML models, forecast defaults, and build cash flow engines for consumer financial products while supporting investment teams.

The role requires a Master’s degree and 4+ years in a data-driven environment, with Python and SQL proficiency, and the ability to communicate complex analyses to stakeholders. Hybrid schedule available.