Lead and facilitate workshops and cross-functional meetings to gather business requirements and define solution approaches
Analyze current business processes to identify AI integration opportunities
Collaborate with business sponsors, product managers, data scientist, technology partners to realize business needs into actual solution
Conduct data analysis to support decision-making and validate AI model readiness
Familiar with Associative data modeling, predictive & text analytics, classification, data exploration, summarization
Work with relevant stakeholders to develop use case benefits explanation, business requirement documents (BRDs), process maps, data dictionaries, client journey, user stories..etc
Mentor and manage junior analysts, fostering a culture of continuous improvement and innovation
Collect, cleanse, and validate data from various sources to ensure accuracy and reliability
Perform exploratory data analysis to uncover trends, patterns, and anomalies
Create visualizations and dashboards to communicate insights effectively to stakeholders
Derive actionable insights to support strategic decision-making and AI model development
Collaborate with data scientists and IT teams to ensure data readiness and integration
Coordinate with cross-functional teams to ensure alignment and timely delivery
Prepare and present status updates, dashboards, and executive summaries to stakeholders
Provide thought leadership and innovative strategy for wholesale banking ( across Payments, Trade, Credit Management and Operational Productivity )
Requirements
5+ years of experience as a Business Analyst, ideally in Banking or Financial Services.
Strong understanding of AI/ML concepts and ability to work with data science teams
