Overview
In this role you’ll join Capco’s Wealth & Asset Management practice to drive strategic transformation for leading financial institutions. You will partner with business and technology teams to improve processes, enhance customer journeys and translate complex requirements into practical solutions. You’ll support end-to-end change, applying Agile methods and exploring AI-enabled workflows with human oversight. The role emphasizes collaboration across stakeholders and delivery of meaningful business change in a regulated financial services context. This opportunity offers hands-on impact in shaping digital transformation and responsible AI-enabled working within wealth and asset management.
Pay / Benefits
- Discretionary bonus
- competitive pension
- health insurance
- family-friendly leave
- 5 weeks annual leave
- minimum 40 hours of training annually
Responsibilities
- Gather, analyse and document requirements; facilitate workshops; produce functional specs and user stories
- Analyse and improve business processes and customer journeys for efficiency, automation and responsible AI
- Support end-to-end change initiatives from business case to testing and implementation
- Collaborate with cross-functional teams and external partners to deliver change using Agile and other methodologies
- Interpret complex information, produce actionable recommendations with AI-assisted analysis and human validation
Key requirements
- Business Analyst experience in Financial Services with knowledge of Wealth & Asset Management products, processes and operating models
- Experience in requirements gathering, process mapping, process re-engineering, customer journey analysis and creating functional specs and user stories
- Understanding of change management and Agile project delivery, from business case to testing and implementation
- Strong stakeholder engagement, communication and workshop facilitation across technical and non-technical teams
- Analytical thinking and problem solving with an interest in AI tools and automation, using responsible AI practices
- Stakeholder engagement
- Communication
- Collaboration across cross-functional teams
- Agile delivery
- Requirements gathering
- Process mapping
…