Quantitative Marketing Researcher

Bayview Asset ManagementCoral Gables, FL
23h$95 - $115Hybrid

About The Position

About Bayview Asset Management, LLC Bayview Asset Management, LLC (“Bayview”) 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. With over 1,500 employees, our corporate headquarters is in Coral Gables, Florida, located near the shores of Biscayne Bay and a 20 minute drive from downtown Miami. The firm has additional asset management offices in New York, London, and Geneva, and loan servicing and origination affiliates in seven U.S. states and Milan, Italy. As of February 2025, Bayview managed approximately $21 billion in assets under management. About Bayview Research The research team at Bayview works with businesses across the firm, including portfolio managers, traders and Lakeview, the mortgage servicing/origination business. We own the data analysis process from start to finish: Data engineering: fetch, explore, and clean the data Modeling: validate existing features, perform feature engineering, and identify the best statistical methods to apply to a given problem Development: Code up the implementation with consideration for efficient run-time execution. Lakeview is the top servicer of agency MSRs in the United States and actively sources new MSRs across its origination platform and bulk and co-issue MSR businesses. We directly support Lakeview's marketing efforts; identify opportunities for new marketing campaigns, analyze customer behavior and integrate a growing list of proprietary datasets into our analysis. About the Role We’re looking for a Quantitative Marketing Researcher to join our team. You’ll be at the intersection of data science, marketing, and strategic decision-making, leveraging large datasets into actionable insights that drive impact for our mortgage origination business and its cross-marketing efforts. Experience working with marketing / behavioral data within any industry is preferred.

Requirements

  • A strong quantitative thinker who intuitively uses math and data to understand the world
  • Deeply knowledgeable about a range of analytical methods, including when and why to use each one.
  • Experienced working with large, unstructured, or messy datasets from real-world sources (e.g., CRM systems, clickstream data, surveys).
  • Comfortable speaking the language of the business—able to align analysis with strategic needs and communicate with clarity.
  • Hands-on and proactive.
  • Targeting 0-3 year of relevant experience, ideally with marketing / behavioral data within any industry is preferred.
  • Proficiency with statistical programming languages such as Python, R, or similar.
  • Strong foundation in statistics, experimental design, and causal inference modeling.
  • Degree (Bachelor's, Master’s or PhD) in a quantitative field (e.g., Statistics, Economics, Data Science, Quantitative Marketing) is preferred.

Responsibilities

  • Partner closely with teams across the organization to develop data-driven solutions for improving the current marketing framework.
  • Conduct quantitative research using a variety of statistical and modeling techniques (regression, clustering, experimental design, etc.).
  • Navigate and make sense of complex, imperfect, and often incomplete datasets to extract meaningful insights.
  • Communicate findings clearly to both technical and non-technical audiences
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