AVP, SPECIAL PROJECTS

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

Job summary

Bayview Asset Management LLC seeks an AVP, Special Projects to advance quantitative analyses for mortgage and consumer credit assets. The role emphasizes developing and maintaining cash-flow engines, performing deal-level risk assessments, and delivering portfolio insights through dashboards.

The candidate will conduct rigorous credit analysis, build predictive models, and collaborate with investment teams in a hybrid setting (three days in office, two remote).

Qualifications

• Master's degree in a hard science, OR operations research, math, CS, engineering, or finance.
• 4 years of data-driven experience in credit analysis or related fields.
• Experience with credit analysis across consumer financial products (BNPL, MPL, loans).
• Proficiency in Python and SQL for modeling and automation.

Responsibilities

• Analyze performance of consumer financial products and forecast cash flows.
• Develop cash-flow engines for repayment modeling and valuation.
• Build dashboards to monitor portfolio risk and performance.
• Conduct ad-hoc quantitative analyses for investment opportunities.

Skills

Python

SQL

Education

Master's degree in a hard science / OR / math / CS / engineering / finance

Tools

pandas

NumPy

SciPy

scikit-learn

Job description

Overview

Bayview Asset Management LLC seeks:

POSITION: AVP, Special Projects

DESCRIPTION

Serve within the research group at Bayview Asset Management, which develops statistical models, conducts qualitative and quantitative analyses for the valuations of mortgages, consumer financial products, and other credit-related assets to support the investment teams across the whole firm. Responsibilities include:

• Analyzing the performance of consumer financial products (e.g. home improvement loans, solar loans/lease, personal loans, student loans, auto loans);
• Utilizing statistical analyses and/or machine learning techniques to develop insight into borrower, servicer and lender behavior to identify trends and outliers;
• Developing statistical modelling to forecast future behavior;
• Developing and maintaining cash flow engines for consumer financial products;
• Evaluating future cash flow for investments;
• Developing efficient data management, surveillance and quality assurance procedures for all internal and external data sources;
• Performing ad-hoc quantitative analysis on various investment opportunities.
• This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.

REQUIREMENTS

Master's degree or foreign equivalent in hard science, operations research, math, computer science, engineering, or finance, and four (4) years of experience working in a data driven environment. Requires 4 years of experience in/with the following:

• Conducting credit analysis on a broad range of consumer financial products, including but not limited to point-of-sale BNPL, marketplace lending (MPL) unsecured consumer loans, recreational vehicle loans and small business loans.
• Direct deal evaluation, involving throughout the full deal lifecycle, including credit underwriting, base and stress-case yield analysis, deal negotiations, term sheet and legal document review, post-close performance monitoring, and quarterly valuation analysis.
• Evaluating investment opportunities across the deal pipeline, performing quantitative analysis on large-scale loan-level datasets and delivering comprehensive credit assessments.
• Conducting asset-level unlevered and deal-level levered cash flow analysis, credit policy reviews, assessments of underwriting standards, and detailed reviews of structural provisions within term sheets and legal documentation.
• Developing statistical, stochastic, or machine learning models to forecast defaults, prepayments, delinquencies, recoveries, etc.
• Leading portfolio surveillance and risk management, including the design and development of interactive dashboards to monitor portfolio performance and key risk indicators.
• Monitoring cumulative losses, CDRs, CPRs, recoveries, ROA, ROE, WAC, WA FICO, and other portfolio performance metrics to support post-close portfolio monitoring, investment evaluation, and risk management decision-making.
• Building and maintaining cash flow engines for consumer finance or structured credit investments across forward flow, mezzanine financing, and bulk purchase transaction structures.
• Programming experience in Python (pandas, NumPy, SciPy, scikit-learn) and SQL for financial modeling, automation, data analysis, and large-scale data management.
• Communicating quantitative analysis, portfolio insights, and investment recommendations effectively to both technical and non-technical stakeholders.
• This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.

HOURS

Monday through Friday, 40 hours per week

LOCATION

New York, New York

This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.

SALARY RANGE

$190,000 - $195,000 per year