We are seeking a highly analytical and data-driven professional to build and enhance data analytics capabilities. This role focuses on transforming data into actionable insights to drive programme growth, optimize participant engagement, and support strategic decision-making within the finance industry.
You work closely with financial institutions and AI solution providers to validate content, refine matching algorithms, and ensure the highest standards for our knowledge hub.
Responsibilities
- Process and analyze technical content submissions from participating financial institutions and AI solution providers
- Validate AI and technology-related case studies, implementation experiences and use case documentation for accuracy and completeness
- Build and refine matching algorithms to connect financial institutions with relevant solution providers and knowledge resources
- Develop rating systems to assess content quality, solution provider effectiveness and implementation success metrics
- Support content curation workflows and maintain knowledge hub quality standards
- Facilitate collaborative review processes and provide clear feedback to content contributors
Requirements
- Bachelor’s degree in finance, computer science, data analytics or a related field
- Understanding of AI and technology applications in financial services
- Experience in content analysis, validation or knowledge management platforms
- Clear communication skills to provide actionable feedback to cross-functional teams and contributors
- Experience with machine learning (ML) and AI concepts or tools
- Knowledge of financial services industry trends and digital transformation initiatives
- Exposure to taxonomy design, metadata frameworks or content governance
- Familiarity with data modeling, algorithms or recommendation systems is an advantage
- Analytical thinking and strict attention to detail
- No visa sponsorship available