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.

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