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.
In this role, you’re expected to:
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 for accuracy and applicability to internal audit testing and regulatory requirements.
Develop and support analytical solutions for continuous auditing across a wide array of Citi’s vast data landscape.
Leverage data science (statistics, NLP, ML, AI) to conduct broad and deep testing to identify data quality concerns, or potential weaknesses in data governance.
Serve as lead analyst for all types of reviews and leads time-based project teams as required.
Possess strong analytical and interpersonal skills, makes sound decisions, exhibiting initiative and intuitive thinking.
Apply knowledge of key regulations to influence analytical testing strategies.
Develop effective line management relationships to ensure strong understanding of the business.
Demonstrate strong judgment, political astuteness, and sensitivity to cultural diversity.
As a successful candidate, you’d ideally have the following skills and exposure:
Significant and demonstrable experience in writing SQL queries (T SQL, P/L SQL, SAS, or Python) with a minimum of 10+ years of experience.
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.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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.
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