Wholesale Lending Regulatory and Analytics - Assistant Vice President

Reposted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Fintech • Financial Services
The Role
The role involves managing data quality and regulatory compliance within wholesale lending, utilizing data analytics tools for improved reporting, and ensuring accurate regulatory filings through collaboration across teams. Responsibilities include developing governance policies, resolving data-related issues, and managing internal audits and inquiries.
Summary Generated by Built In

About Citibank N.A.

Citibank is a leading financial institution committed to innovation, regulatory compliance, and data excellence. Our Enterprise Data Organization (EDO) is at the forefront of driving data strategy and ensuring the highest standards of data quality and governance

Team Overview: Regulatory and Analytics (R&A)

The Regulatory and Analytics (R&A) team within the EDO plays a critical role in ensuring the accuracy, reliability, and compliance of regulatory reports and in leveraging data analytics to drive business insights. The R&A team collaborates across various business and technology units to implement robust data quality management policies and procedures, and to provide subject matter expertise on regulatory reporting requirements.

Key Responsibilities:

Regulatory Data Quality Stewardship: Defendable and Supported Analysis

  • Become domain expert in wholesale credit product, business and risk management
  • Accountable for DQ review in compliance with Wholesale Credit, EDO and regulatory guidance. Be comprehensive, concise, conclusive and consistent with strong support  
  • 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.

Data Analytics Tooling, Automation and AI Development for Wholesale Credit:

  • Design and implement analytics for reporting, DQ detection and adjustments, trend analysis and anomaly monitoring using tools like Python, VBA, query, Excel
  • Define use cases, collaborate with business, Risk, data modeling, Technology on AI data model training, lead contextualization wholesale credit concepts for AI training
  • Drive the resolution of data-related issues to ensure accurate and timely regulatory filing and enhanced internal risk management
  • Scope and define business requirements for DQ remediation, data-drive decision intelligence, ollaborate with Product Development on implementation and deployment  

Control Development and Issue Management:   

  • Define logic rules and assign appropriate severity level, project manage to ensure quick time-to-market and improve end-to-end data integrity
  • Review and enhance regulatory reporting logics to align with regulatory guidance
  • 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
  • Implement and document compensating controls for regulatory reporting

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.

Qualifications:

  • 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. Self-learner mindset who thrives with extensive on-the-job training.
  • 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
  • Bachelor's degree in Data Science, Computer Science, Finance, or other data

Preferred Qualifications:

  • Experience with AI technique, Python, data mining and analytics tools 
  • Prior working knowledge of wholesale lending document and US regulatory reporting (e.g. FR-Y14Q, Y-9C and 2052a) is nice to have, but not a must
  • 7+ years of experience in the financial services, legal or other regulated industry, with preference of previous wholesale credit and regulatory reporting.
  • Business proficiency in Spanish, Portuguese, other languages

Skills:

  • Technical: Data Quality, Python, AI Use Case Development, Regulatory Reporting
  • Soft: Communication, Stakeholder Management, Problem Solving

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Job Family Group:

Data Governance

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Job Family:

Data Quality & Data Quality Analytics and Reporting

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Time Type:

Full time

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Most Relevant Skills

Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 7+ years of experience in the financial services, legal or regulated industry
  • Bachelor's degree in Data Science, Computer Science, Finance, or other data
  • Working experience with data analytics tools (Excel, Python, SQL, Power BI / Tableau)
  • Ability to communicate effectively, succinctly and clearly
  • Critical thinking, analytical and problem-solving skills

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
  • Retirement Support Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
  • Wellbeing & Lifestyle Benefits Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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