AI Analyst

Location: Cape Town |
Work Type: Hybrid |
Job : J107270

With a focus on Africa, China, the UK and the US, this global investment firm offers you an opportunity to be involved with a unique approach to responsible investing whilst driving performance and innovation. This client is guided by a philosophy of investing with care and seeks out top achievers who are looking to redefine and shape the future of the investment industry.

Our client holds a firm belief that their work goes beyond financial gains and numbers, recognising the impact of their actions on the lives and futures of those they serve. With a specialised focus on emerging markets and a passion for Africa and China, our client offers independent advice, analysis, and reporting services to a diverse range of asset owners, investment managers, hedge funds, private equity firms, service providers, and brokers.

• Support team AI initiatives and collaborate on process improvements.
• Identify and implement automation and technology advancements to drive efficiency.
• Develop AI agents, workflows, and tools using LLMs, Databricks, SQL, Python, Power BI, and Excel for reporting and data validation.
• Analyse business processes to pinpoint problems, risks, and opportunities for mapping and documentation.
• Build robust checks, controls, and testing procedures for AI-generated outputs before client delivery.
• Improve data quality, lineage, and technical specifications for portfolio, benchmark, and market data.

• A relevant tertiary degree would be beneficial (Computer Science, Data Science, Information Systems, Engineering, etc.).
• Certifications in machine learning, statistics, financial modelling or data engineering are beneficial.
• 1 - 3 years of experience in AI tools, LLM-based workflows, automation, or coding projects, including demonstrable project implementation.
• Background or exposure to investment, risk, or performance data is a strong advantage.
• Familiarity with SQL, cloud data platforms like Databricks, and related analytics technologies.
• Support the Analytics Team by identifying, implementing, and managing AI-enabled solutions to improve risk and performance reporting.
• Contribute to broader AI and automation projects across the business as required.
• Demonstrates high curiosity, fast learning capabilities, strong analytical skills, and a proactive, organized approach.
• Safeguards the integrity of sensitive client data while handling large quantities of portfolio and market information.
• Exercises a healthy skepticism toward AI outputs, ensuring rigorous testing and validation before relying on results.
• Communicates clearly, manages time effectively under pressure, and consistently meets deadlines.
• Works well both independently and collaboratively while embracing the team's culture and commitment to deadlines.

• AI
• LLM
• Python
• SQL
• Databricks
• Automation
• Data Validation
• Risk Reporting
• Investment
• Analytics
• Machine Learning