Leading the Equifax Analytical Models team, evolving the three pillars that ensure positive evolution and business impact.
What you will do
Productive 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 need
* Financial sector: products, operations, associated regulation.
* Consulting, client, and project management.
* Team management.
What could set you apart
* Knowledge 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 do
Productive 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 need
* Financial sector: products, operations, associated regulation.
* Consulting, client, and project management.
* Team management.
What could set you apart
* Knowledge 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 #J-18808-Ljbffr