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Citi Group Vice President - Internal Audit Data Analytics Lead SAS/SQL/Python Malaysia, Penang, George Town 964285055
Citi
(Internal Job Title:. –)
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In this role, you’re expected to:
The Data Analytics Lead Analyst VP will perform complex and critical audits and assessments of Citi’s risk and control environments of the Chief Operating Office (COO), including the Chief Data Office, Data Management, and Program Management leveraging analytical tools, data science, and innovations. The role will participate in audits, issues and regulatory validation, business monitoring and governance reporting which meet the requirements of the Boards of Citigroup and Citibank, their affiliates, and of Citi’s respective regulators, globally.
Responsibilities:
Develops and maintains Computer Assisted Audit Tools and Techniques (CAATTs) using SQL based analytical tools (e.g. Python, SAS, SSMS, etc.).
Performs 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 for accuracy and applicability to internal audit testing and regulatory requirements.
Develops and supports analytical solutions for continuous auditing across a wide array of Citi’s vast data landscape.
Leverages data science (statistics, NLP, ML, AI) to conduct broad and deep testing to identify data quality concerns, or potential weaknesses in data governance.
Serves as lead analyst for all types of reviews and leads time-based project teams as required.
Possesses strong analytical and interpersonal skills, makes sound decisions, exhibiting initiative and intuitive thinking.
Applies knowledge of key regulations to influence analytical testing strategies.
Develops effective line management relationships to ensure strong understanding of the business.
Demonstrates strong judgment, political astuteness, and sensitivity to cultural diversity.
Overall 10+ years work experience withSignificant and demonstrable experience in writing SQL queries (T-SQL, P/L SQL, SAS, Tableau) with a minimum of 5+ years of experienceacross environments
Senior level experience in a related role with experience in providing scheduled and ad-hoc analytics or reporting, with proven abilities in taking responsibility for executing concurrently on a portfolio of high quality deliverables to stakeholders according to strict timetables.
Experienced understanding of management information systems, data analytics tools, and related best practices and control initiatives across the financial services industry.
Effective negotiation skills, a proactive and 'no surprises' approach in communicating issues and strength in sustaining independent views. This individual must be an articulate and effective communicator, both orally and in writing, with an energetic, charismatic and approachable style.
Strong interpersonal skills for interfacing with all levels of management.
Education:
Bachelor’s degree/University degree or equivalent combination of education/experience. Degree in Analytics, Data Science, MIS, Mathematics, Computer Science, or Information Technology (IT) preferred.
Time Type:
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