Reporting to the AVP, Internal Audit Data Analytics, this individual is responsible for development, and delivery of strategic analytics initiatives and processes within Internal Audit to achieve Audit objectives. The individual would be hands-on involved in generating and delivering analytics insights on audits, enabling digital ways of working including automation, better access to data, agile processes and bring life to art-of-possible data science use cases for audits.

The role is part of the Global Audit Data Analytics team, and the individual would have opportunities to collaborate extensively with the analytics teams in other locations in Asia and North America. The role is a high-visibility and impact role with opportunities to partner with Senior Audit leadership, present to Global Audit teams and connect with analytics networks.

What you'll be doing:

• Own and deliver the analytical project planning and execution for audit and advisory engagements.

• Lead the analytical project planning with Audit teams to establish scope, objectives, deliverables and perform data analytics procedures and testing to evaluate controls and business objectives, data collection tasks and generate analytics insights.

• Collaborate with IT and Business Unit users to understand data structure, availability, and accessibility.

• Develop and execute data access plan for audit engagements and projects, facilitate discussions with stakeholders.

• Develop detailed businesses and systems knowledge of Business Groups, and document business, system, contacts, and data sources to help build a robust knowledgebase for future efforts.

• Plan, Lead and Develop proof of concept solutions on Audit Process Automation, Continuous Automated Auditing and Monitoring, and other projects enabling audit digitization.

• Leverage applied understanding of programming, stats, machine learning, data visualization, exploratory data analysis, ML Ops , to uncover gaps in control objectives and enable deeper insights and enhanced risk assurance.

• Contribute to the development of Internal Audit policies, strategy, and direction ; and continually improve audit and supporting processes leveraging technology to the fullest.

• Develop Analytics curriculum and train auditors in SQL, Python and Tableau on basic analytics tasks of descriptive analytics.

Build strong internal network with Audit teams and Analytics teams and externally within analytics industry.

What you'll need to succeed

Strong technology and analytical skills, as demonstrated by:

• Hands-on experience applying analytics (descriptive, diagnostic, predictive) to evaluate controls and business objectives and identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data.

• Extensive Experience using statistical techniques (e.g., regression analysis, cluster analysis, and decision trees) and anomaly detection methods.

• 5-7 years of demonstrative experience using programming languages - SQL and Python including python data libraries (numpy, pandas, matplotlib, scikit-learn), Visualization tools - PowerBI/Tableau and AWS SageMaker.

• Proven track record of developing impactful presentations, visualizations, and dashboards for executives.

• Excellent written and verbal communication skills.

• The ability to work effectively with persons at all levels in the organization and influence management in ambiguous situations.

• In-depth understanding of the principles and practices of information technology, data analytics, digital processes, and internal controls in a large corporate environment

Additional Experience

• Advanced degree in a quantitative discipline such as Data Science/Analytics, AI, Engineering, Operations Research, Computer Science/Engineering, Statistics, Mathematics, or related fields.

• 8+ years progressive financial industry experience, 5+ years experience in Data Science or Machine Learning, with 2+ years experience in the NLP domain developing and productionizing machine learning models (experience with LLMs, generative AI is a plus) validated by reference to GitHub profile showcasing relevant projects.

• Demonstrated knowledge or aptitude for technology platforms and digital solutions including web, mobile, database, data analytics, personalization tools, machine learning and AI.

• Bonus: Experience using data analytics tools in support of audit engagements (Archer , Arbutus/Alteryx/Dataiku) and knowledge of data, digital, and technology landscape.