Associate, Consumer Modeling

Bayview Asset ManagementCoral Gables, FL
3dOnsite

About The Position

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets. The candidate will join the research group at Bayview Asset Management, which develops a fundamental understanding of credit performance through statistical models. Also conducts qualitative and quantitative analyses for the valuations of mortgages, consumer and small business financial products, and other credit-related assets to support the investment teams across the whole firm.

Requirements

  • Strong understanding of consumer and small business financial products
  • Strong statistical modelling, data analytical and problem-solving skills
  • Hands-on programming experience in scripting (e.g. Python, R), and/or compiled languages (e.g., C++)
  • Working SQL experience or prior experience with similar data processing languages is preferred
  • Effective communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
  • Ability to work independently as well as collaboratively in an exciting and fast-paced, dynamic environment with shifting priorities
  • Strong work ethics, professionalism, and commitment to integrity and ethical conduct
  • Candidates typically possess a bachelor’s or master’s degree in a hard science, math, computer science, engineering, economics or finance
  • 2-5 years of relevant experience working in a data driven research environment.

Responsibilities

  • Lever statistical methods to discern fundamental drivers of credit and prepayment performance for various consumer and small business credit asset classes
  • Analyze the performance of a diverse universe of consumer financial products (e.g. home improvement loans, personal loans, student loans, auto loans)
  • Utilize statistical analyses and/or machine learning techniques to develop insight into borrower, servicer and lender behavior to identify trends and outliers
  • Develop statistical modeling to forecast future behavior
  • Develop and maintain cash flow engines for consumer financial products
  • Evaluate future cash flow for investments
  • Develop efficient data management, surveillance and quality assurance procedures for all internal and external data sources
  • Perform ad-hoc quantitative analysis on various investment opportunities
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