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VP, Mortgage Analytics

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Equifax Canada
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR

Job Description & How to Apply Below

Location: St. Louis

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

As VP, Mortgage Analytics, you will be the analytics leader with full end-to-end accountability for one of Equifax Workforce Solutions (WS) largest and most strategic businesses. Income and employment verification through The Work Number is part of millions of U.S. mortgage decisions. Your job is to turn that data into insight, products and growth for our lenders and for the WS Mortgage business.

You will be a trusted partner to the Mortgage SVP/GM and leadership team, in the room when pricing, product, sales and market strategy decisions are made. You will understand the full mortgage lifecycle (pre-qualification, origination, underwriting, pre-close re-verification, servicing and portfolio retention) and how rate cycles, refi and purchase mix, GSE policy and lender economics shape demand for verification.

This position does not offer immigration sponsorship (current or future) including H4, H1B transfer or F-1 STEM OPT extension support.

What you'll do Three Core Pillars of Responsibility

1. Embedded Strategic Partner to the Mortgage Business

  • Analytics strategy owner:
    Define and run the analytics roadmap for WS Mortgage, tied directly to the business's revenue, product, penetration and retention goals.
  • Market and demand intelligence:
    Build a sharp, forward‑looking view of the mortgage market, including origination volumes, refi and purchase cycles, lender share shifts, and segment dynamics across banks, independent mortgage banks (IMBs), credit unions and servicers. Translate it into forecasts and actions for the business.
  • Revenue growth levers:
    Deliver analytics behind sales enablement, account planning, pricing, customer lifetime value, churn and white‑space identification. Know which lenders are under‑penetrated, where re‑verification and servicing use cases can grow, and why.
  • Product influence:
    Bring together industry trends, lender behavior and internal usage data to shape the product roadmap with Mortgage Product Management, including how our data supports GSE programs (e.g., Fannie Mae Day 1 Certainty®, Freddie Mac AIM) and lender automation.

2. Customer Co‑Innovation & Data Products

  • Trusted advisor to lenders:
    Partner directly with top mortgage lenders and servicers to solve their hardest problems, such as application to closed loan conversion rates, cost to close, cycle time, verification hit rates, fraud and early payment default risk. Use WS data to quantify the value.
  • Executive storytelling:
    Turn complex analysis into compelling, executive‑ready narratives, presentations and dashboards for lender C‑suites, our sales teams and WS leadership.
  • Productizing insight:
    Package WS data assets and recurring analyses into reusable, scalable, value‑added products and services, such as benchmarking, portfolio insights and market intelligence, that create new revenue streams.
  • Proof of value:
    Design and run pilots, ROI studies and lift analyses that show lenders the measurable impact of WS solutions and speed up deals.

3. AI‑Powered Analytics at Scale

  • AI‑native operating model:
    Make AI the default way the team works. Use agentic workflows, LLM‑assisted analysis and AI code‑assist tools (e.g., Gemini, Git Hub Copilot, Claude) to automate routine reporting, speed up insight generation and multiply team output.
  • Conversational and self‑serve insight:
    Partner with the AI/ML COE Leader to deploy secure, self‑serve conversational analytics on Mortgage data, so sales, product and business leaders can get answers without waiting in a queue.
  • AI‑ready data products:
    Partner with the Data Platform…
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