Interprets PCI DSS requirements, reviews system and cloud-service security designs, defines project controls, assesses risk, and supports incident response and security governance.
About this role
This role sits in the credit screening analytics organization, which uses data and digital technology to support business and service transformation. It connects executives, business divisions, and data scientists so that analytical work in credit assessment leads to operational decisions and business initiatives.
The role plans and drives multiple data-utilization projects, identifies business issues, defines analysis and model-development requirements, supports operational implementation, and validates results. It also prepares proposals and presentations based on analysis and machine-learning models. The stated technical environment includes GCP, including BigQuery, DataRobot, Google Slides, and PowerPoint; the requirements also name practical experience with Python or SQL, or foundational knowledge of statistics and machine learning.
Applicants need at least two to three years of project management or planning and execution experience, experience presenting analysis or proposals to executives or business stakeholders, and the ability to define requirements and discuss work with data scientists. Experience leading data-based business initiatives or solving corporate issues through data analysis or AI is also required.
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