This role enables data-driven strategic and operational decision-making by extracting actionable insights from large datasets using advanced analytics and machine learning
Job Summary
This role enables data-driven strategic and operational decision-making by extracting actionable insights from large datasets using advanced analytics and machine learning.
The incumbent will lead a team to design data pipelines, develop validated logical data models, and translate findings into business recommendations that drive operational improvements.
Candidates must possess strong foundational knowledge in statistical analysis and demonstrate the ability to apply these techniques to complex, regulated banking environments.
Matching Summary
This role enables data-driven strategic and operational decision-making by extracting actionable insights from large datasets using advanced analytics and machine learning.
Skills & Requirements
Must-have
Advanced analytics and statistical analysis
Machine learning and AI application
Python SQL SAS programming skills
Banking product analytics experience
Data pipeline design and automation
Interactive dashboard creation
Nice-to-have
GenAI and LLM-enabled analytics exposure
Cloud migration and modernization experience
Responsible AI and model risk awareness
Deposit and lending analytics background
Strong communication with senior stakeholders
Cross-functional collaboration leadership
Key Requirements
Experience in data science or quantitative analytics
Hands-on banking product analytics background
Proficiency in Python, SQL, or SAS
Ability to manage analytical workstreams independently