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- 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.
Deliverables
- Process Flow Diagrams and Process Maps
- AI Readiness Assessments
- Data Dictionaries and Analytics Reports
- User Stories & Acceptance Criteria
- Project Plans, RAID Logs, and Status Reports
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
