Residential Mortgage Modeler Bayview Asset Management - 3.4 Coral Gables, FL Job Details Full-time $100,000 - $135,000 a year 4 hours ago Qualifications Statistics Economics Statistics Predictive modeling analysis Financial model development Bachelor's degree in statistics Bachelor's degree in finance Mathematics Bachelor's degree in economics Mid-level Mortgage industry Finance SQL Analysis skills Math Bachelor's degree Industry trends Master's degree in finance Improving predictive model accuracy Credit risk modeling Master's degree in statistics Data-driven problem-solving Master's degree in mathematics 1 year Predictive analytics projects Bachelor's degree in mathematics Research findings presentation Model evaluation Communication skills

Technical Proficiency Full Job Description Overview:

Position Summary:

Bayview is a leading financial services firm specializing in mortgage-related investments. Our team is dedicated to delivering cutting-edge solutions through rigorous research and advanced modeling techniques.

Role Overview:

We are seeking a highly motivated and skilled candidate to join our Credit Modeling Team under the Bayview Research Team. The ideal candidate will have 1-3 years of experience in statistical modeling, with a focus on mortgages. This role involves validating and calibrating default models, performing empirical analysis as requested by the business as well as collaborating with US and Europe business teams to enhance their understanding and application of these models.

Key Responsibilities:

Validate and calibrate mortgage credit models (for defaults and loss given defaults) to ensure robustness, consistency, and predictive power. Continuously monitor and improve model performance through back-testing and performance analysis. Analyze mortgage data to identify trends and patterns that influence credit behavior. Assist in the development and implementation of new modeling approaches and techniques. Communicate complex statistical concepts and model outputs to non-technical stakeholders. Collaborate with business teams to provide insights and support in utilizing credit models effectively.

Qualifications:

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, or a related field. Minimum of 2+ years of experience in statistical modeling, preferably within the mortgage industry. Proficiency in Python and SQL is a must for model development and empirical analysis. Strong analytical and problem-solving skills with attention to detail. Strong communication skills, both written and verbal, and the ability to work on multiple tasks and projects simultaneously. Ability to work independently and as part of a collaborative team. Familiarity with mortgage data. CERTIFICATIONS, LICENSES, and/or

REGISTRATION N/A. LOCATION

This role is a hybrid position (3 days onsite) based in Bayview's Coral Gables, FL office or can be fully remote depending on background / experience. We have existing team members in the Coral Gables office. Base compensation is expected to be $100,000 - $135,000, with opportunity for a performance-based bonus.

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.