Quantitative Researcher, Special Projects

4 weeks ago


Miami Florida, United States Bayview Asset Management Full time
Job Summary

Bayview Asset Management is seeking a highly skilled Quantitative Researcher to join our Research Team. As a key member of our team, you will be responsible for analyzing consumer financial products, building statistical models, and implementing data management procedures.

Key Responsibilities
  • Analyze the performance of consumer financial products, including auto lending, credit cards, personal loans, and student loans.
  • Develop and implement statistical models to forecast future behavior, capable of handling various scenarios.
  • Assess the effectiveness of models over time or over new populations.
  • Develop efficient data management, surveillance, and quality assurance procedures for all internal and external data sources.
  • Implement and maintain models in C++/C#.
  • Develop insight into borrower, servicer, and lender behavior to identify trends and outliers.
  • Perform ad-hoc quantitative analysis on various pools of loans.
Requirements
  • Strong understanding of structured credit products, including ABS, RMBS, and securitization markets.
  • Proficiency in financial modeling and statistical analysis (regression and time-series models).
  • Hands-on programming experience in scripting (e.g. Python), and/or compiled languages (e.g. C++).
  • Working knowledge of SQL and databases.
  • Excellent quantitative skills, attention to detail, and ability to interpret complex financial data.
  • Strong knowledge of probability and statistics.
  • 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 a fast-paced, dynamic environment.
  • Strong work ethic, professionalism, and commitment to integrity and ethical conduct.
Education and Experience
  • Bachelor's degree in finance, economics, math, or another quantitative field with a high GPA from a top-rated institution.
  • 2-4 years of relevant experience working in a data-driven research environment from a buyside or sell-side firm.


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