Citi Group AVP Data Scientist/Data Analyst Senior Auditor 

Malaysia, Penang, George Town 

886032175

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

) based in
Mumbai, India.Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.

• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.

• We empower our employees to manage their financial well-being and help them plan for the future.

• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.

• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

Responsibilities:

• Perform moderately complex audits including supporting the drafting of audit reports, presenting issues to the business, and discussing practical solutions

• Complete assigned audits within budget 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 for accuracy and applicability to internal audit testing and regulatory requirements.

• 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

• Has the ability to operate with a limited level of direct supervision.

• Can exercise independence of judgement and autonomy.

• Acts as SME to senior stakeholders and /or other team members.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

As a successful candidate, you’d ideally have the following skills and exposure:

• At least 6 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

• Subject matter expertise regarding audit technology’s application

• Effective project management skills

• Effective influencing and relationship management skills

• Demonstrated ability to remain unbiased in a diverse working environment

• Bachelor’s degree in Data Science, Computer Science, MIS, or related discipline; Master’s degree is preferred

• CISA, PMP, Agile/Scrum, Cloud Computing, or related certifications are a plus

Time Type:

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