The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.  This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles. Who is Equifax? Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally. Responsibilities: Develop and execute training strategy globally on new modelling approaches,  innovations, data assets, modelling applications and processes  Requires specialized depth and/or breadth of expertise to operate independently  Communicates difficult concepts and influences others to adopt a different point of view Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed Be the experienced practitioner on machine learning that others look to for guidance and education. Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Curate existing content from various sources like universities, commercial content providers, and publicly available material Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended) Position Requirements: Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering 7+ years’ modelling and analytics experience in the financial services area Experience developing models and scores with applications in risk and marketing Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning Ability to collaborate as a team player in a matrix organization Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers The Perks of being an Equifax Employee? We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To speak to us about this role in more detail apply online.