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Location
In office (South Africa)
Employment
Full-Time

First seen by Alion on Oct 30, 2026.

Overview
Company
Impact
Profile match
Duties & Responsibilities The company

A well-established investment analytics and reporting business that serves institutional clients. It is investing heavily in AI and automation to speed up and strengthen its risk and performance reporting.

The role

You will help the analytics team find, build and manage AI-enabled solutions that improve the speed, accuracy and scalability of portfolio performance, attribution, risk and compliance reporting. You will also contribute to AI and automation initiatives elsewhere in the business.

Key responsibilities
  • Build AI agents, automated workflows, dashboards and tools using LLMs. These support reporting production, data validation, commentary drafting and client deliverables.
  • Build checks and controls into automated processes, and test AI output against known-good results before it reaches a client.
  • Analyse and improve business processes and data flows, and help improve the quality and lineage of portfolio, benchmark and market data.
  • Translate reporting requirements into clear technical specifications, and document what you build so others can maintain it.
  • Keep up with AI and automation developments and identify where they can improve efficiency.
Requirements
  • A degree (B.Com, B.Bus.Sci, B.Sc or B.Eng) in Computer Science, Data Science, Information Systems, Engineering, Applied Mathematics, Statistics or Finance. Other qualifications are considered if you can show strong quantitative ability.
  • 1–3 years' experience with AI tools, LLM-based workflows, automation or coding, including personal projects. You should be able to demonstrate at least one AI-enabled project you have implemented.
  • Exposure to investment, risk or performance data is a strong plus.
  • SQL, Python, Power BI, Excel and cloud data platform experience are advantageous. Training will be provided.
You are
  • Curious, a fast learner and genuinely interested in AI, investments and financial markets.
  • Detail-oriented, with a healthy scepticism of AI output. You test and validate before relying on a result.
  • Aware of why accuracy, repeatability and an audit trail matter in client reporting.
  • Organised, able to work under pressure and willing to go the extra mile at month-end.
  • A clear communicator who works well both independently and in a team.

 

Please note: Only candidates being considered will be contacted

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