Join our Commercial & Investment Bank Analytics team to help identify and implement solutions using data and AI to generate actionable insights. This role offers a unique opportunity to apply your knowledge and experience in data and AI to help business operations uncover operational insights that drive efficiency and business performance. 

As a Data/AI Analyst in the Commercial & Investment Bank Analytics team, you will be an integral part of a dynamic Data Analytics team supporting the bank’s Digital and Platform Services function. This role involves applying data science knowledge and experience to identify, design, and implement key solutions that generate transparency and insights in business operations to support executive management. 

Job Responsibilities: 

Identify AI application areas for insight generation and data management 

Lead solutions development and implementations that support insight generation 

Lead prompt engineering setup and execution for AI implementations 

Serve as a subject matter expert on data analysis tools, techniques, and concepts 

Required Qualifications, Capabilities, and Skills: 

3+ years of experience in data analysis, solution development, and implementations, preferably in financial services or technology/AI consulting 

Hands-on experience solving complex business problems using data 

Proficiency in programming languages such as R, Python, and SQL 

Competency in data architecture, LLM, and AI concepts 

Strong communication skills 

Team player with a strong work ethic and professionalism 

Demonstrated experience in working with multiple stakeholders in a complex data environment 

Willingness and curiosity to learn new technologies, tools, and business operations 

Preferred Qualifications, Capabilities, and Skills: 

Knowledge of data preparation processes for graph databases 

Experience/knowledge of RAG architecture to support conversational AI implementations 

Knowledge/Experience with Graph RAG 

Familiarity with data analytics toolsets such as Qlik Sense, Tableau, SQL, and Alteryx 

Familiarity with data architecture and data management