The VP of Data & Analytics for Identity and Fraud will lead a team responsible for data strategy, customer analytics, and AI/ML model development in the identity and fraud vertical. This role involves collaborating with global technology and product teams to integrate business requirements into roadmaps, providing subject matter expertise to accelerate sales, and ensuring alignment between data analytical strategies and dependent teams like product and sales. The incumbent will anticipate key customer needs and create scalable approaches for selling configurable insights across the Identify and Fraud Business Unit. Essential skills include a minimum of 10 years managing data analytics teams in revenue-generating organizations, experience with rich data sets to build SaaS models, and expertise in identity and fraud detection, risk modeling, and statistical programming using SAS, R, and Python. Experience within regulated financial services is highly valued.
Skills
Python
R
SAS
Kafka
Hadoop
Spark
PostgreSQL
MySQL
MongoDB
AWS
Azure
GCP
CI/CD
Docker
Kubernetes
Terraform
Git
Jenkins
Prometheus
Grafana
What you'll do
Drives data strategy and manages AI/ML models for identity and fraud.
Ensures global roadmaps incorporate requirements for the identity and fraud business.
Leads customer-facing analytics team aligned with different identity and fraud verticals.
Provides subject matter expertise to accelerate solutions and sales in other markets.
Develops and executes data analytical strategies for identity and fraud verticals.
Anticipates key customer needs to provide global D&A strategy leadership.
Creates scalable approach to selling configurable insights across the business unit.
What we're looking for
Minimum 10 years of experience managing data analytical teams supporting revenue-generating organizations.
At least 7 years developing models using rich and diverse datasets in SaaS industries.
Expertise in identity and fraud detection, risk modeling, causal analysis, and pattern recognition.
Strong skills in statistical analyses with proficiency in SAS, R, and Python programming.
Understanding of consumer data usage across the payments lifecycle and marketplace value chain.
Experience in data science including data rights and governance preferred.
Excellent problem-solving skills for designing algorithms like data cleaning and clustering.
Market check
Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$125,760–$202,500.
Peer median band
$125,760–$202,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,300–$194,122
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Equifax
Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.