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The Senior Auditor is an intermediate level role responsible for performing moderately complex audits and assessments of Citi’s risk and control environments in coordination with the Audit team. The overall objective is to utilize in-depth subject matter expertise to contribute to the development of new techniques/processes for the area or function and help Citi reach business goals.
Job Responsibility:
Perform moderately complex audits including drafting audit reports, presenting issues to the business, and discussing practical solutions
Draft audit reports and present issues to the business while discussing practical cross-functional solutions
Complete assigned audits within budgeted timeframes, and budgeted costs
Monitor, assess, and recommend solutions to emerging risks
Develop and maintain Computer Assisted Audit Tools and Techniques (CAATTs) using SQL based analytical tools (e.g., Python, SAS, SSMS, etc.)
Perform independent testing of business data extractions and segmentations for completeness, accuracy, and applicability to internal audit testing and regulatory requirements across multiple platforms
Support Risk Based Audits and Issue Validation through independent testing of data sets across multiple platforms, including Teradata, Oracle, SQL Server, and other databases
Leverage data science (statistics, NLP, ML, AI) to conduct broad and deep testing to identify data quality concerns, or potential weaknesses in data governance
Contribute to the development of audit processes improvements, including the development of automated routines
Apply internal audit standards, policies, and regulations to provide timely audit assurance and influence audit scope
Develop effective line management relationships to ensure strong understanding of the business
Requirements:
At least 5 years of experience in data analytics/data science
3-4 years of which would be in Python coding, AI/ML model development, and deployment
Proficiency in developing ML use cases using IBM SaaS/Watson or comparable cloud solutions
Demonstrable expertise in generative AI models, including prompt engineering, performance optimization, and understanding of model limitations
Experience with advanced analytics, AI, ML, NLP, NLU, and LLM capabilities
Experience with API integration and testing
Effective verbal and written communication and negotiation skills
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