Analyst, Residential Mortgage Analytics at Bayview Asset Management

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytical, Tech-Savvy, Data-Driven Insight, Process Innovation, Loan Pricing, Securitization Preparation, Collateral Management, Portfolio Surveillance, Data Anomalies Resolution, Automation, AI-Driven Initiatives, Problem-Solving, SQL, Python, Excel, PowerPoint

Industry

Financial Services

Description

Overview POSITION SUMMARY: Bayview Asset Management (BAM) is seeking a highly motivated Analyst / Associate to join our New York office. This individual will work as an integral member of a cross-functional team positioned at the intersection of residential loan analytics, capital markets, and structured finance. The analyst will support BAM’s core mortgage-related activities, contributing to loan pricing, securitization preparation, collateral management, and ad-hoc strategy and data initiatives. This role sits at the heart of the Capital Markets group and Resi Loan Desk, with direct exposure to trading, research, and structuring teams. Ideal candidates will be analytically strong, tech-savvy, and eager to make an immediate impact through data-driven insight and process innovation. ESSENTIAL DUTIES AND RESPONSIBILITIES: The following job functions are not all-inclusive. The employee will be required to perform other job-related tasks/responsibilities as requested. Job duties may change as required by needs of company. • Analyze and prepare loan tape data for internal credit models, investor deliverables, and rating agency packages • Support loan pricing, bond performance analysis, and portfolio surveillance with a focus on speed, accuracy, and insight • Provide pricing and analytics support across residential, consumer, and structured bond desks, as well as to strategy and structuring teams • Conduct quarterly residential loan portfolio valuations (institutional level) and provide market commentary and pricing perspectives • Perform collateral integrity checks, identify and resolve data anomalies, and enhance validation procedures • Prepare daily rate-lock updates, daily position reports, and month-end collateral reviews • Contribute to automation and AI-driven initiatives to enhance operational efficiency and improve daily workflows • Collaborate with research, technology, and operations teams to build scalable and game-changing solutions that contribute to the team’s evolving front-office function • Manage and prioritize intraday and ad-hoc data requests from trading desks and internal stakeholders • Apply strong analytical and logical problem-solving skills to ensure data accuracy, enhance credit model results, and support critical business decisions EDUCATION and EXPERIENCE: • Bachelor’s degree in a quantitative or analytical field (e.g., Finance, Economics, Math, Computer Science, Engineering, or related discipline) • Exceptional analytical, logical reasoning, and mathematical abilities with a strong attention to detail • Strong problem-solving skills with the ability to identify issues, evaluate alternatives, and implement effective solutions. • Effective communicator, ability to clearly articulate complex data and insights in both written and verbal form • Proficiency in Excel, PowerPoint, Word, SQL, and Python required • Experience with Tableau or Power BI a plus; familiarity with CAS a plus but not required • Quick learner with strong adaptability to proprietary systems and new tools • Strong organizational skills with the ability to manage multiple priorities and meet tight deadlines • Collaborative team player who thrives in cross-functional settings and can build trust with stakeholders • Resilient under pressure, with ability to perform and sustain high-quality work in fast-paced environments • Proactive and ownership-driven, with the drive to lead initiatives and deliver mission-critical results • Adventurous and intellectually curious, with a self-starter mindset and passion for exploring new ideas CERTIFICATIONS, LICENSES, and/or REGISTRATION • N/A LOCATION & COMPENSATION: • This is an onsite role based in Bayview’s NYC office. We have existing team members in this location. • Base compensation is expected to be $80,000-$100,000 with the opportunity for incentive compensation including bonus compensation. 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.

Responsibilities

The analyst will support core mortgage-related activities including loan pricing, securitization preparation, collateral management, and data initiatives within the Capital Markets group. Key duties involve analyzing loan tape data, supporting bond performance analysis, conducting portfolio valuations, and enhancing validation procedures.