ASSOC- Risk Architecture

The candidate will be responsible for building data monitoring controls defining SDQ thresholds primarily for Risk Decision Engines and Third-party services within Consumer & Community Banking. The candidate will be expected to have a detailed understanding of system requirements data quality and lineage controls. The candidate is will also be responsible for data monitoring and reporting and supporting post implementation validations during releases for any changes made to decision engines to ensure accuracy of decisioning and support root cause analysis in case of production issues or defects.

A balance of initiative leadership influence and matrixed management skills are important success factors for this role. The right candidate will be comfortable working independently or as part of small project teams. She/he has strong analytical skills is highly confident and possesses strong communication skills.

This is a critical role and will require both technical and analytical skills and the ability to engage with stakeholders.

Responsibilities:

• Include the use of querying tools reports and analyses to mitigate risk resulting from changes made to our decision engines.
• Understanding of how data is created transformed and used within and across business processes and ability to analyze and interpret huge volumes of data from multiple sources for reconciliation purpose.
• Work with Business/Stakeholders to gather the requirements understand the business logic and define Data Quality rules/validation checks
• Leverage a variety of analytical technical and statistical applications (SAS SQL Python) to describe analyze and validate trends in large complex data sets. Ability to synthesize / analyze diverse information develops recommendations and makes decisions.
• Identify and resolve concerns by assisting developers project managers technology leads production support business/underwriting and Risk Strategy Stakeholders with inquiries.
• Research production tickets/defects including monitoring reporting and resolution with appropriate stakeholders including identification of process improvement opportunities and automation
• Build Detective Controls and data monitoring Reports to mitigate risk resulting from changes that impact Risk Decision Engines & Third party services
• Supporting Outlier analysis and ad-hoc risk based analysis i.e. descriptive metrics trend analysis customer profiling performance reporting data monitoring Build lineage controls seasonality etc.
• Process Automation - Be able to lead and deliver on automation of reporting process using tools like SQL VBA Coding Tableau Cognos and Alteryx
• Assess potential end-user or customer impacts for Strategy changes
• Liaise with business key stakeholders to ensure vendors have clear specifications for each project and/or initiative
• Maintain the appropriate tracking and documentation for all consumption engagements related processes flows and functional documentation
• Post-implementation validations related to strategy changes tied to Decision Engines
• System analysis and ongoing validation of core attributes
• Maintain appropriate Risk Control Self Assessments (RCSAs) and business analysis/ requirements

Qualifications

• Bachelors/Masters degree in Engineering or Computer Science.
• Strong Leadership organizational skills communication skills and the ability to work independently.
• Strong SAS SQL and python and/or other Oracle and/or Teradata database tools
• Strong database knowledge and analytical skills
• Proficient with Microsoft Office suite particularly Excel and PowerPoint
• UNIX experience preferred.
• Ability to work as part of a team
• Capacity to work under time-sensitive business deadlines
• Strong attention to detail
• Excellent verbal and written communication skills and Capacity to work under time-sensitive business deadlines
• Working knowledge of BI / data visualization tools like Tableau QlikView Power BI Alteryx etc. on the Big Data ecosystem
• Knowledge of Data Quality Management/Tools is preferred
• Experience with working in Agile framework and familiarity with data warehousing concepts and techniques.