Wholesale Lending Regulatory and Analytics – Assistant Vice President

CITI; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Citi in Bengaluru seeks an experienced Data Quality analyst to act as domain expert for wholesale credit product analytics and risk management. You will ensure data integrity, detect anomalies, and drive regulatory reporting improvements using Python and AI-based use cases.

The role requires 7+ years in regulated financial services, strong communication, and stakeholder management skills to collaborate across Risk, Finance, and Technology.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Finance, or other data.
• Technical skills: Data Quality, Python, AI Use Case Development, Regulatory Reporting.
• Soft skills: Communication, Stakeholder Management, Problem Solving.
• 7+ years of experience in the financial services, legal or other regulated industry.

Responsibilities

• Defendable and Supported Analysis as a domain expert in wholesale credit product, business and risk management.
• Accountable for DQ review in compliance with Wholesale Credit, EDO and regulatory guidance.
• Detect, assess, measure, and report data anomalies.
• Apply new technology and data analytics tools to improve review efficiency.
• Contribute to development and sustainability of R&A Target Operating Model.
• Design and implement analytics for reporting, DQ detection and adjustments, trend analysis and anomaly monitoring.
• Define use cases, collaborate with business, Risk, data modeling, Technology on AI data model training.
• Drive the resolution of data-related issues to ensure accurate and timely regulatory filing and enhanced internal risk 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.
• Manage internal and regulatory inquiries, Internal Audit and regulatory exam.
• Collaborate in regulatory change management with RRIO, Risk, Finance from interpretation to implementation.
• Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities.

Skills

Data Quality

Python

AI Use Case Development

Regulatory Reporting

Communication

Stakeholder Management

Problem Solving

Education

Bachelor's degree in Data Science, Computer Science, Finance, or other data

Job description

ROLE

• Defendable and Supported Analysis as a domain expert in wholesale credit product, business and risk management
• Accountable for DQ review in compliance with Wholesale Credit, EDO and regulatory guidance
• Detect, assess, measure, and report data anomalies
• Apply new technology and data analytics tools to improve review efficiency
• Contribute to development and sustainability of R&A Target Operating Model
• Design and implement analytics for reporting, DQ detection and adjustments, trend analysis and anomaly monitoring
• Define use cases, collaborate with business, Risk, data modeling, Technology on AI data model training
• Drive the resolution of data-related issues to ensure accurate and timely regulatory filing and enhanced internal risk 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
• Manage internal and regulatory inquiries, Internal Audit and regulatory exam
• Collaborate in regulatory change management with RRIO, Risk, Finance from interpretation to implementation
• Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities

REQUIREMENTS

• Result-oriented, self-motivated for high quality execution with good time management
• 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
• Bachelor's degree in Data Science, Computer Science, Finance, or other data
• Technical skills: Data Quality, Python, AI Use Case Development, Regulatory Reporting
• Soft skills: Communication, Stakeholder Management, Problem Solving
• 7+ years of experience in the financial services, legal or other regulated industry