Risk Architecture Associate

• Data Quality & Risk Management: Design, validate, and monitor data quality controls and detective controls to mitigate risks arising from decision engine, strategy, and system changes.


• Data Analysis & Validation: Leverage SAS, SQL, Python, and reporting tools to analyze large datasets, perform reconciliations, trend analysis, outlier detection, and post-implementation validations.


• Stakeholder Collaboration & Issue Resolution: Partner with business, technology, and risk stakeholders to gather requirements, define business rules, investigate production issues, and drive resolution and process improvements.


• Automation & Governance: Lead reporting and monitoring automation initiatives, maintain documentation and lineage controls, and ensure compliance with risk governance, RCSA, and control requirements.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field. 


• Strong programming and database skills, including SAS, SQL, Python, and experience with Oracle, Teradata, or similar platforms. 


• Solid analytical and problem-solving abilities with expertise in data analysis, data warehousing, and data quality management. 


• Hands-on experience with BI and visualization tools such as Tableau, Power BI, QlikView, Alteryx, and the Big Data ecosystem. 


• Strong leadership, communication, and organizational skills, with the ability to work independently and collaboratively in a team environment. 


• Experience working in Agile frameworks, managing time-sensitive deliverables, and maintaining a high level of attention to detail.