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OVERVIEW:

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.

The Research Team at Bayview works with businesses across the firm, including portfolio managers, traders and Lakeview, a mortgage servicing/origination business. Our team is dedicated to delivering cutting-edge solutions through rigorous research and advanced modeling techniques. We oversee the data analysis process from start to finish:

  • Data engineering: fetch, explore, and clean the data
  • Research: analyze data with quantitative rigor to answer the business question at hand
  • Modeling: identify the best statistical methods to apply to a given problem
  • Development: code up the implementation with consideration for efficiency and extensibility

 

POSITION SUMMARY: 

The research team at Bayview Asset Management is hiring an LLM Analyst to unlock insight from large volumes of textual data, both external and internal, to inform investment theses, improve operations, and answer foundational questions about the mortgage industry and more broadly, the economy.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

  • Engage with the business: Meet with portfolio managers, traders, marketing and servicing teams to identify and narrow down the question. Understand the business context behind each question.
  • Think critically and creatively: Determine the best tool to answer the question at hand. Be able to think critically and creatively about what to try. AI or LLM will not always be the answer. 
  • Prototype quickly but evaluate rigorously: Design prompts, run experiments in notebooks and concisely synthesize results for fast iteration. Define clear success metrics to measure progress.
  • Communicate clearly: Produce narrative summaries of findings and “so-what” recommendations for non-technical stakeholders.
  • Be comfortable with imperfect data: Be familiar with basic data exploration and manipulation techniques. Work with the source to identify root issues in the data
  • Operate responsibly and with integrity within Bayview governance; adhere to privacy/PII handling and model-risk standards.

 

QUALIFICATIONS: 

  • Bachelor's or master's degree in mathematics, statistics, physics, computer science, or another quantitative field. Degree in the social sciences/humanities with demonstrated analytical work is also welcome.
  • No prior job experience is required, but experience conducting in-depth research with real-world data is required (textual data preferred)
  • Proficiency in a programming language (e.g. Python)
  • Excellent reading, writing and communication skills
  • Strong analytical and problem-solving skills with interest in understanding the business

 

CERTIFICATIONS, LICENSES, and/or REGISTRATION  

  • N/A.

 

LOCATION: 

  • This role is a hybrid position (3-4 days onsite) based in Bayview’s Coral Gables, FL office. We have existing team members in these locations. 

 

PHYSICAL DEMANDS and WORK ENVIRONMENT 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls.  The employee frequently is required to talk and hear.  The noise level in the work environment is usually moderate.  The employee is occasionally required to stand; walk; reach with hands and arms.  The employee is rarely required to stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC 

Bayview Asset Management is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.