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AI Analyst

Parvana

Job Location:

Cape Town - South Africa

Monthly Salary: Not provided by the employer

Posted: 6 October 2026 (2 days ago)

Application Deadline: 3 January 2027

Vacancies: 1 Vacancy

Job Summary

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

About our client:

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.

What you will be doing:

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.

What our client is looking for:

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 teams culture and commitment to deadlines.