Job Description
Overview
This role supports the Model Risk Management platform. Wells Fargo uses statistical models to make risk decisions (, credit card approvals). The models execute on a server-based platform, and this team manages and evolves that platform, enabling risk models to run at scale.
The platform is also used by statisticians who work with large datasets (millions of accounts) to build and test statistical models. Engineers on this team configure the platform and build tools that enable these users to process data and run analytical workloads.
This platform is one of the first at the company to be fully moved to Google Cloud Platform, and the complexity of the workloads requires strong engineering proficiency with GCP, Apache Spark, containerized microservices, and distributed data processing. Experience in financial services is preferred but not required; experience working with large-scale data is equally relevant.
Additional skills related to building AI/M...
This role supports the Model Risk Management platform. Wells Fargo uses statistical models to make risk decisions (, credit card approvals). The models execute on a server-based platform, and this team manages and evolves that platform, enabling risk models to run at scale.
The platform is also used by statisticians who work with large datasets (millions of accounts) to build and test statistical models. Engineers on this team configure the platform and build tools that enable these users to process data and run analytical workloads.
This platform is one of the first at the company to be fully moved to Google Cloud Platform, and the complexity of the workloads requires strong engineering proficiency with GCP, Apache Spark, containerized microservices, and distributed data processing. Experience in financial services is preferred but not required; experience working with large-scale data is equally relevant.
Additional skills related to building AI/M...
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