The Digital Solutions and Innovation (DSI) team within the Citi Internal Audit Innovation function is looking for a Data Analytics Lead Analyst (Vice President) to join the Analytics and Automation (A&A) Team.  The Analytics and Automation function works with members of Internal Audit to identify opportunities, design, develop and implement analytics in support or the performance of audit activities, along with automation activities to promote efficiencies and expand coverage. The candidate must be proficient in the development and use of analytics technology and tools to provide analytical insight and automated solutions to enhance audit efficiency and effectiveness and have functional knowledge of banking processes and related risks and controls. 

Key Responsibilities:

• Participating in the innovative use of audit analytics through direct participation in all phases of audits
• Leadership and subject matter expertise in the development of audit processes improvements.
• Defining data needs, designing, and executing audit analytics during audits in accordance with the audit methodology and professional standards.
• Pro-actively develops automated routines to help focus audit testing.
• Assisting audit teams in performing moderately complex audits related to a specific area of the bank: Consumer Banking, Investment Banking, Risk, Finance, Compliance, and/or Technology.
• Providing coaching to Audit team members regarding the use of analytics and automation and supporting provision of analytics training.
• Provide oversight and support to other members of the Analytics and Automation team, and wider Digital Solutions and Innovation team.
• Applies understanding of business processes to identify opportunities to enhance audit efficiencies and effectiveness through the development and delivery of automated processes.
• Strong verbal and written communication skills to clearly articulate analytics requirements and results and make practical recommendations for impact of findings and analytics enhancements.
• Develop professional relationships with audit teams to assist in the definition of analytics and automation opportunities.
• Develop effective working relationships with technology and business management of the area being audited, to facilitate understanding or processes and sourcing of data.
• Promoting continuous improvement in all aspects of audit automation activities (e.g., technical environment, software, operating procedures).

Key Qualifications and Competencies

• At least 8 years of business / audit analyst experience in providing analytical techniques and automated solutions to business needs.
• Work experience in global environment and in large company.
• Excellent technical, programming and databases skills
• Excellent analytical ability to understand business processes and related risks and controls and develop innovative audit analytics based upon audit needs.
• Strong interpersonal and multicultural skills for interfacing with all levels of internal and external audit and management.
• Self-driven, problem-solving approach. Understanding of procedures and following these to keep quality and security of processes.
• Detail oriented approach, consistently performing diligent self-reviews of work product, and attention to data completeness and accuracy.
• Data literate, with the ability to understand and effectively communicate what data means to technical and non-technical stakeholders.

Proficiency in one or more of the following technical skills is required:

• SQL
• Python
• Hadoop ecosystem (Hive, Sqoop, PySpark etc).
• Alteryx

Proficiency in at least one of the following Data Visualization tools is a plus:

• Tableau
• MicroStrategy
• Cognos

Experience of the following areas would be a plus:

• Business Intelligence including use of statistics, data modelling, data mining and predictive analytics.
• Application of data science tools and techniques to advance the insights obtained through the interrogation of data.
• Knowledge of Gen-AI and prompt engineering.
• Working with non-structured data such as PDF files.
• Providing analytics training to business users.
• Banking Businesses (i.e., Institutional Clients Group, Consumer, Corporate Functions) or areas of expertise (i.e. Anti-Money Laundering, Regulatory Reporting)
• Big Data analysis including big data dedicated use like HUE, Hive
• Project Management / Solution Development Life Cycle
• Exposure to Process mining software such as Celonis

What we offer:

• A chance to develop in a highly innovative environment where you can use the newest technologies in a top-quality organizational culture. 
• Professional development in a truly global environment
• Inclusive and friendly corporate culture where gender diversity and equality is widely recognized
• A supportive workplace for professionals returning to the office from childcare leave
• An enjoyable and challenging learning path, which leads to a deep understanding of Citi’s products and services.
• Yearly discretionary bonus and competitive social benefits (private medical care, multisport, life insurance, award-winning pension scheme, holiday allowance, flexible working schedule and other)

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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