Data Operations Analyst

OverviewAbout UsFounded in 1993, Bayview Asset Management is an investment management firm focused on mortgage and consumer credit investments, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.Position SummaryBayview Asset Management (BAM) is seeking a highly motivated Analyst to join its IT Data Operations team. This role is part of a cross-functional group operating at the intersection of residential, consumer, and commercial loan analytics, capital markets, and structured finance.The Analyst will support BAM’s core mortgage-related activities, including loan acquisitions and sales, securitization preparation, collateral management, and ad hoc data and strategy initiatives.Positioned within the Capital Markets group, this role offers direct exposure to trading, research, system development, operations, and structuring teams. The ideal candidate is analytically strong, technically proficient, and eager to drive impact through data-driven insights and process improvements.Key Responsibilities:Analyze and prepare loan tape data for internal credit models, investor deliverables, and rating agency packagesAssist in designing and implementing ETL pipelines to extract data from various systems, such as SQL databases, CRM, and flat filesCleaning, formatting, and transforming raw data into usable formats for analytical purposes, including data warehousingAssist in developing, updating, and maintaining ETL mappings and workflows.Developing and performing unit tests to ensure data quality and integrity. Optimizing ETL workflows for better performance and efficiencyProviding production support for ETL jobs, debugging issues, and reducing technical defectsProvide analytics support across residential, consumer, and commercial dept, as well as to strategy and structuring teamsConduct quarterly residential loan portfolio valuations (institutional level) and provide market commentary and pricing perspectivesPerform collateral integrity checks, identify and troubleshoot data anomalies, and enhance validation proceduresPrepare daily rate-lock updates, daily position reports, and month-end collateral reviewsContribute to automation and AI-driven initiatives to enhance operational efficiency and improve daily workflowsPartner with research, technology, and operations teams to build scalable and game-changing solutions that contribute to the team’s evolving front-office functionManage and prioritize intraday and ad-hoc data requests from trading desks and internal stakeholdersRequired Skills and Experiences: Exceptional analytical and quantitative skills with strong attention to detailStrong communication skills, with the ability to clearly articulate complex data and insights both verbally and in writingFamiliarity with ETL tools such as Informatica, Microsoft SSIS, Talend, or DataStageSolid understanding of data modeling, data warehouse design, and cloud technologiesProficiency in Excel, Word, SQL, and Python requiredExperience with Tableau or Power BI is a plusQuick learner with the ability to adapt to proprietary systems and new toolsStrong organizational skills, with the ability to manage multiple priorities and meet tight deadlinesCollaborative team player who thrives in cross-functional environments and builds strong stakeholder relationshipsAble to perform effectively under pressure while maintaining high-quality work in fast-paced settingsQualifications:Bachelor’s degree in a quantitative or analytical field (e.g., Finance, Economics, Math, Computer Science, or related discipline)Location & CompensationThis is a hybrid position that can be based in either Bayview's Denver office or New York office. This will be 3 days on-site, 2 days remote.The compensation offered for this role will be between $80,000 - $100,000 and will depend on the level of experience.This role is eligible to participate in the firm’s performance-based bonus compensation programs.EEOC Bayview 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.