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Credit MIS reporting is used across Citigroup to monitor and evaluate portfolio risk performance and fulfils its regulatory reporting requirements. The requirements are varied and comprehensive across a broad set of requirements from US Regulatory Reporting e.g. Basel, FDIC, CCAR FR-Y14Q etc and local regulatory reporting including Bureau, MIS and Templates required by Local Regulator. The incumbent will ensure the production of all regular data and reporting feeds in an accurate and timely manner. The incumbent will be required to proactively design, develop and enhance reporting data feeds along with coordinating with the internal and global reporting team. The incumbent will be responsible for ensuring that any reports or data feeds comply with Retail Credit Risk (RCR) Policy and local and regulatory requirements. The incumbent will partner with colleagues within local risk team and evaluate portfolio risk performance and perform business analysis to respond to regulatory requirements and provide portfolio insights.
Job Responsibility:
Generate and maintain reliable, fast and meaningful MIS. Ensure all MIS submission deadlines are met
BAU MIS and Monthly decks to retail policy team for performance tracking
Analytical Support to Credit Risk teams
Up-to-date monitoring/trackers are available for stakeholders to assess the most recent portfolio actions / performance
Timely and accurate preparation of Regulatory reports and effective change management inline with regulatory and other stakeholders expectations
Support global reporting team by producing monthly feeds and investigate / resolve identified data quality issues
Participates in preparing regular and time-sensitive ad-hoc deliverables to the regulators and senior managements, closely working with local risk and global senior portfolio managers
Providing strong leadership in data governance, support in fixing / initiating / closures of Corrective Action Plans on reporting – by alignment of data sources to the respective guidelines & revamping/automation/implementation migration for BAU scripts
Requirements:
Knowledge in MS office applications especially in Excel, Pivots, complex formula, Word and PowerPoint
Demonstrated ability to aggregate in a stable, robust and structured manner data sourced from different platform. Big data oriented
SAS, Python, SQL or similar programming or data management skills is a must
Good understanding of risk management and business strategies/actions. Ability to develop and perform analysis that addresses concerns and issues in a clear and concise manner
Ability to manage self and projects effectively in a high-pressure environment with multiple deadlines
Excellent ability to develop partnerships across multiple business and functional areas
Written and verbal communication skills in English
Bachelor's degree in relevant fields like computer science, mathematics, statistics, or finance with approx. 5 years of experience