Join the Risk Data Architecture team, where you'll build data monitoring and controls for Risk Decision Engines and Third-party services within Consumer & Community Banking. This role demands a detailed understanding of system requirements, data quality, and lineage controls. You'll also support post-implementation validations and root cause analysis for production issues. The ideal candidate is independent, analytical, confident, and possesses strong communication skills. This critical role requires both technical and analytical skills and stakeholder engagement.
As a Consumer Banking - Risk Architecture Data Analytics - Associate within the Risk Data Architecture team, you will be responsible for building data monitoring & controls primarily for Risk Decision Engines and Third party services within Consumer & Community Banking. You will be expected to have a detailed understanding of system requirements, data quality and lineage controls. This role requires a balance of initiative, leadership, influence and matrixed management skills. You will have the opportunity to work independently or as part of small project teams, leveraging your strong analytical skills, confidence, and communication abilitiesJob 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 source 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 decision
- 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
Required qualifications, capabilities, and skills
- Bachelor’s/Master’s degree in Engineering or Computer Science.
- 7+ years of experience in Data Analytics & Reporting.
- Working knowledge of BI / data visualization tools like Tableau, QlikView, Power BI, Alteryx, etc. on the Big Data ecosystem
- Strong SAS, SQL and python and/or other Oracle and/or Teradata database tools
- Strong database knowledge and analytical skills
- Excellent verbal and written communication skills and Capacity to work under time-sensitive business deadlines
- Experience with working in Agile framework and familiarity with data warehousing concepts and techniques.
Preferred qualifications, capabilities, and skills
- Experience in analytical storytelling skills
- UNIX experience preferred
- Knowledge of Data Quality Management/Tools is preferred
- Experience in Banking / Digital Banking preferred