Junior Fintech and AI Analyst Market-related Salary Claremont, Cape Town A dynamic and forward-thinking financial services environment is seeking a curious, analytical, and tech-driven Junior Fintech & AI Analyst to join a financial services company. This opportunity is ideal for a recent graduate or early-career professional who is passionate about technology, data, automation, and the future of AI within financial services. The successful candidate will gain exposure to innovative fintech platforms, automation initiatives, AI-enabled tools, and operational improvement projects within a sophisticated wealth management and family office environment. Key Responsibilities Fintech & Systems Support Support the day-to-day operation and enhancement of fintech platforms, data feeds, and internal systems. Assist with testing, troubleshooting, and rollout of new system functionality. Investigate and elevate system or data-related issues where required. Data & Analytics Work with structured and semi-structured datasets across the business. Assist with data validation, reconciliations, and quality assurance processes. Produce reports, dashboards, and insights for internal stakeholders. Automation & AI Enablement Support initiatives aimed at improving operational efficiency through automation. Assist in exploring and piloting AI-enabled tools and technologies. Contribute to workflow automation, data analysis, and productivity enhancement initiatives. Help document AI use cases, limitations, and governance considerations relevant to financial services. Process Improvement Participate in process reviews and journey‑mapping exercises. Assist in translating operational challenges into practical technology‑driven solutions. Support the creation of process documentation, workflows, and user guides. Learning & Development Continuously build knowledge of fintech systems, AI concepts, data structures, and emerging technologies. Stay informed on technology and AI trends impacting the financial services industry. Requirements 1–3 years’ experience or a recent graduate with strong practical exposure. Background in technology, analytics, engineering, quantitative disciplines, or finance with a technical/data focus advantageous. Exposure to financial services or fintech beneficial but not essential. Preferred Qualifications Degree or diploma in: Computer Science Information Systems Data Science / Analytics Engineering Finance (with strong technical or analytical exposure) Relevant certifications, online courses, or self‑directed learning in AI, automation, or data analytics will be advantageous. Technical Skills Strong Excel skills and confidence working with data. Basic understanding of: Databases and data structures Automation concepts or scripting APIs and system integrations Exposure to tools such as: Python SQL Power BI AI and automation platforms #J-18808-Ljbffr