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Corelogic Jobs in California (NOW HIRING)

Ellisor Group

Senior Data Engineer

San Francisco, CA · On-site

$125K - $169K/yr

DSCR, bank statement, asset depletion, and associated data formats · External data feed integrations (CoreLogic, Black Knight, employment verification providers) · Feature store design and point-in ...

Prime Healthcare

Lease Administrator

Ontario, CA · On-site

$70K - $87K/yr

Co-Star, CoreLogic and Real Capital Analytics. 2. Prior experience with YARDI, MRI, and/or other accounting software is a plus but not required. 3. Familiar with property management software ...

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See California salary details

$37K

$56.1K

$82.9K

How much do corelogic jobs pay per year?

As of Jun 16, 2026, the average yearly pay for corelogic in California is $56,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $55,800.00 per year, depending on experience, location, and employer.

What types of projects or clients do CoreLogic analysts typically work with, and how does this influence the daily workflow?

CoreLogic analysts often work on projects involving real estate data, property valuation, risk assessment, and market trend analysis for clients in sectors such as banking, insurance, and government. The diversity of clients means analysts frequently shift between tasks like data cleansing, report generation, and client presentations, often collaborating closely with data scientists, engineers, and account managers. This dynamic environment encourages continuous learning and adaptability, making the daily workflow varied and engaging.

What is CoreLogic and what does the company do?

CoreLogic is a leading provider of property information, analytics, and data-enabled solutions. The company offers services primarily to real estate professionals, mortgage lenders, insurance companies, and government agencies. CoreLogic's data and analytics help clients assess property risk, value properties, prevent mortgage fraud, and make informed business decisions. Their products are widely used in the real estate, financial, and insurance industries to facilitate transactions and manage risk.

What are the key skills and qualifications needed to thrive as a Data Analyst at CoreLogic, and why are they important?

To thrive as a Data Analyst at CoreLogic, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), SQL databases, and statistical software such as SAS or Python is typically required. Attention to detail, effective communication, and critical thinking are crucial soft skills for presenting insights and collaborating with stakeholders. These competencies enable accurate analysis and actionable recommendations, driving better business decisions in the real estate and property data industry.
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Corelogic jobs near you

Mortgage Data Analyst

Ellisor Group

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Mortgage/Data Analyst

Compensation: 100K-135K base

No 3rd party/C2C- No sponsorship at this time

Client is re-writing the risk model for the non-QM mortgage market -combining data analytics, proprietary risk intelligence, and Loan Defect Insurance to turn mortgage manufacturing risk into quantifiable, insurable outcomes for lenders, investors, and RMBS issuers. Client AI (SAI) is the analytical engine powering this platform, built on neural network triage, hazard-based pricing, and AI-driven defect detection. The Mortgage / Data Analyst is the person who makes SAI's outputs defensible to the outside world -bridging model outputs and real-world loan performance through surveillance reporting, model validation, and institutional counterparty deliverables.

In this role you will:

· Produce surveillance reporting -pool health summaries, delinquency trends, roll rate analysis, and defect emergence narratives supporting institutional counterparty relationships

· Maintain mark-to-market LTV calculations using live HPI feeds and produce early-warning indicators for pools approaching concentration thresholds or deteriorating collateral values

· Own quarterly reinsurer reporting -claims bordereau data, aggregate exposure summaries, and pool performance vs. pricing assumption variance

· Build and maintain investor report templates translating model outputs into plain-language risk narratives for capital markets counterparties

· Perform loan-level file review and model output validation -comparing defect flags and risk scores against loan documents to identify systematic errors or coverage gaps

· Contribute realized loss experience and recovery timing data that calibrates SAI's claims analytics models

The Ideal Candidate:

· Has sat in a loan file and knows what makes a defect real vs. a model flag

· Can translate complex model output into language a reinsurer's credit committee will act on

· Brings equal comfort to Excel and SQL

Basic Qualifications:

· 4+ years in non-QM loan review, mortgage credit risk, or structured finance analytics

· Deep familiarity with non-QM loan types: DSCR, bank statement, asset depletion, foreign national

· SQL and Excel or Python for analysis and reporting

· Performance reports and risk narratives produced for institutional audiences

Preferred Qualifications:

· Quantitative model outputs translated into investor or counterparty-facing narratives

· RMBS or whole loan pool-level surveillance reporting

· Mark-to-market LTV monitoring using CoreLogic, FHFA, or equivalent HPI data

Tech: SQL · Python or R · Excel · Tableau or Power BI · HPI data feeds (CoreLogic / FHFA)