• 5+ years of 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.
• 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.
• 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 Relevant 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,