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VP, Mortgage Analytics at Equifax, USA Missouri St Louis Lackland

VP, Mortgage Analytics at Equifax in USA Missouri St Louis Lackland. Full-time. Est. up to $200k. Apply with swipeandhired.

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

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.

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.

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, GitHub 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 Leader to make sure Mortgage data is modeled, governed and exposed through the semantic layer in ways that power both BI and AI use cases.
Spot AI opportunities: Find where AI and ML can create new value for lenders, such as predictive demand signals, risk and fraud indicators, and next-best-action for sales, and bring those ideas to Product and the AI/ML COE.

Cross-Functional Leadership & Operating Model

Mortgage business alignment: Operate as an extension of the Mortgage leadership team, maintaining structured cadence with Mortgage GM, Product, Sales, Marketing and Finance.
D&A partnership: Work closely with the AI/ML COE Leader, the Data Platform Leader and peer Customer Analytics leaders. Reuse enterprise platforms and models rather than building one-off solutions.
Responsible use of regulated data: Partner with Legal, Compliance and Privacy so all analytics and data products meet FCRA, permissible-purpose and fair lending requirements from the start.
Talent and team building: Hire, develop and keep top analytical talent. Set a high bar for rigor, business acumen and AI fluency, and grow the team deliberately as value is proven.

What Experience You Need (Minimum requirements)

Bachelor's Degree
10+ years in analytics leadership, including managing analytical consultants, data analysts, data scientists and/or data engineers
Deep mortgage or consumer lending industry expertise, including the origination and servicing lifecycle, lender economics, GSE and secondary market dynamics, and the role of verification and credit data in mortgage decisions
Proven record of embedding analytics in a business line and driving measurable revenue, penetration or retention outcomes
Client-facing experience turning data assets into commercial products or services that generated revenue
Hands-on experience applying AI (GenAI, LLMs, agentic tools, AI-assisted coding) to scale analytics and raise team productivity
Strong executive presence, with the ability to simplify complex analysis into clear business recommendations for lender and internal C-suites
Strong technical foundation in SQL and Python, plus modern BI and cloud data tools (GCP/BigQuery preferred)

What Could Set You Apart

Master's or PhD in statistics, mathematics, economics, engineering or another quantitative field, or equivalent practical experience
Experience working with FCRA-regulated or other sensitive consumer data
Experience building self-serve or conversational analytics capabilities

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:
USA-St. Louis-Lackland

USA-Atlanta JV White, USA-St. Louis-Clayton

Function:
Function - Data and Analytics

Schedule:
Full time