AI Analyst

• 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.
  

Requirements