Wholesale Lending Reporting Analytics Analysis

• Regulatory Data Quality Stewardship: 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
• Specialize in assigned portfolio, liaise with business, TM and UW, ensure data integrity
• Responsible for detecting, assessing, measuring, reporting of data anomalies
• Apply new technology and data analytics tools to improve review efficiency
• Control Development and Issue Management: Define and refine logic rules and assign appropriate severity level
• Review and enhance regulatory reporting system logics
• Project manage for logic rule and reporting rule development
• Design appropriate testing plan
• Maintain issue log, review and prioritize strategic remediation
• Internal and Regulatory Exam, Change Management: Manage internal and regulatory inquiries, Internal Audit and regulatory exam
• Collaborate in regulatory change management
• Data-Driven Analytical Tooling and Automation: Scope and provide business requirements to technology for DQ remediation

• Minimum of 3+ years of experience in the financial services, legal or other regulated industry
• Working knowledge of traditional data analytics tools (Excel, commercial BI tools)
• Hands-on experience with artificial intelligence technique, preferably in financial or other industry
• Demonstrated self-learning, analytical and problem-solving skills
• Ability to communicated succinctly and clearly
• Working knowledge to support technology development
• Experience with SQL and Tableau required
• Bachelor's/University degree or equivalent experience
• Accounting, Data Science, Finance 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 vacation, sick leave, and paid holidays
• Discretionary and formulaic incentive and retention awards