Junior Fintech and AI Analyst
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 escalate system or data-related issues where required.
- 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.
- 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.
- 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.
- 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.
- 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