Leading the Equifax Analytical Models team, evolving the three pillars that ensure positive evolution and business impact.What you will doProductive Capacity Management:
Active management experience with analytical model development roadmaps, ensuring deadline adherence.Management and prioritization of planning and resource changes based on production metrics and business impact.Technical and analytical expert support for product design.Management of analytical production professional teams:
data scientists and MLOps engineers.Coordination with other areas and stakeholders to ensure production objectives.Mathematical Modeling:
Development and deployment of analytical models within business use cases.Expert analytics reference and technical support for the deployment of developed models.Knowledge and application of best practices in analytical model development.Proficiency in traditional machine learning methodologies.Ability to analyze data and identify patterns and insights, with a vision for impact on models and operational solutions.Capacity for researching new methodologies and their application and projection in the market.Definition of projects for applying new analytical solutions in business use cases.Ability to engage internationally to share knowledge and import new applications, best practices, methodologies, among others.Technical and operational definition of feasibility tests for new ideas and concepts.What experience you needFinancial sector:
products, operations, associated regulation.Consulting, client, and project management.Team management.What could set you apartKnowledge of the AI Act.Experience in risk and/or fraud management.Experience in Generative AI.Primary Location:
ESP-Madrid Castellana
Function:
Function - Data and Analytics
Leading the Equifax Analytical Models team, evolving the three pillars that ensure positive evolution and business impact.What you will doProductive Capacity Management:
Active management experience with analytical model development roadmaps, ensuring deadline adherence.Management and prioritization of planning and resource changes based on production metrics and business impact.Technical and analytical expert support for product design.Management of analytical production professional teams:
data scientists and MLOps engineers.Coordination with other areas and stakeholders to ensure production objectives.Mathematical Modeling:
Development and deployment of analytical models within business use cases.Expert analytics reference and technical support for the deployment of developed models.Knowledge and application of best practices in analytical model development.Proficiency in traditional machine learning methodologies.Ability to analyze data and identify patterns and insights, with a vision for impact on models and operational solutions.Innovation:
Capacity for researching new methodologies and their application and projection in the market.Definition of projects for applying new analytical solutions in business use cases.Ability to engage internationally to share knowledge and import new applications, best practices, methodologies, among others.Technical and operational definition of feasibility tests for new ideas and concepts.What experience you needFinancial sector:
products, operations, associated regulation.Consulting, client, and project management.Team management.What could set you apartKnowledge of the AI Act.Experience in risk and/or fraud management.Experience in Generative AI.Primary Location:
ESP-Madrid Castellana
Function:
Function - Data and Analytics
Schedule:
Full time
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