Wholesale Lending Reporting Analytics Analysis

• Regulatory Data Quality Stewardship: Defendable and Supported Analysis
• Become business domain expert in wholesale credit product, portfolio and risk management
• Accountable for DQ review in compliance with WCR, EDO, industry and regulatory guidance with 95% accuracy rate
• Specialize in assigned portfolio, liaise with business, TM and UW, ensure data integrity, represent R&A in issue remediation, while backup teammates on other portfolios
• Responsible for detecting, assessing, measuring, reporting of data anomalies
• Apply new technology and data analytics tools to improve the review efficiency
• Contribute to development and sustainability of R&A Target Operating Model
• Control Development and Issue Management
• Define and refine logic rules and assign appropriate severity level to help develop control checks for end-to-end data integrity
• Review and enhance regulatory reporting system logics to align with regulatory guidance
• Project manage for logic rule and reporting rule development to ensure quick time-to-market
• Design appropriate testing plan to minimize impact of false positive or false negatives
• Maintain issue log, review and prioritize strategic remediation based on issue scorecard
• Propose, implement and document compensating controls for regulatory reporting
• Develop and run reports for impact assessment and adjustments
• Internal and Regulatory Exam, Change Management
• Manage internal and regulatory inquiries, Internal Audit and regulatory exam as the primary for coverage portfolios, back up teammates on others
• Collaborate in regulatory change management with RRIO, Risk, Finance from interpretation to implementation
• Effectively communicate and coordinate implementation, act as R&A SME to support business, Risk and Finance
• Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities
• Data-Driven Analytical Tooling and Automation
• Scope and provide business requirements to technology for DQ remediation from SOR to reporting based on root cause analysis
• Draft business requirement for development of analytical capabilities and R&A adjustment workflow
• Collaborate with Product Development on implementation and deployment
• AI and New Technology Development and Integration
• Define use cases for AI adoption, collaborate with Technology, TM and business
• Help train and refine AI application through testing and feedback
• Offer tactical solution designs and guidance on interpretive issues relating to reporting instructions and their implementation
• Support the resolution of data-related issues to ensure accurate and timely regulatory filings

• 5+ years of experience
• Result-oriented, self-motivated for high quality execution with good time management
• Working experience with data analytics tools (Excel, Python, SQL, Power BI / Tableau), hands-on with artificial intelligence technique
• Commitment and aptitude to quickly learn wholesale loan legal agreement and Risk document review
• Critical thinking, analytical and problem-solving skills to drive resolution of complex problems, ability to communicate effectively, succinctly and clearly
• A team player who will collaborate and challenge peers as well as counterparts in front office, Risk and reporting
• Ability to help define and support technology development
• Experience with AI technique, Python, data mining and analytics tools
• Minimum of 0-5 years of experience in the financial services, legal or other regulated industry, with preference of previous wholesale credit and regulatory reporting
• Bachelor's/University degree or equivalent experience
• Data Science, Computer Science, Finance, or other data (preferred)

Prior working knowledge of wholesale lending document and US regulatory reporting (e.g. FR-Y14Q, Y-9C and 2052a)

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
• discretionary and formulaic incentive and retention awards