AI Analyst

Parvana; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Parvana is seeking a focused AI/Analytics professional in Cape Town to support our client’s AI initiatives and automate data workflows. You will design and implement AI-enabled reporting tools, validate outputs, and strengthen data quality for risk and performance metrics.

You will work hybrid, collaborating with the Analytics Team to advance machine learning, data engineering, and portfolio data handling across markets. The role emphasizes rigorous testing and timely delivery.

Qualifications

• 1–3 years of experience in AI tools, LLM-based workflows, automation, or coding projects.
• Background or exposure to investment, risk, or performance data is advantageous.
• Familiarity with SQL, Databricks, and related analytics technologies.
• Certifications in ML, statistics, financial modelling, or data engineering are beneficial.

Responsibilities

• Support 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.
• Analyze business processes to identify problems, risks, and opportunities for mapping and documentation.
• Build robust checks, controls, and testing procedures for AI outputs before client delivery.
• Improve data quality, lineage, and technical specifications for portfolio, benchmark, and market data.

Skills

AI

LLM

Python

SQL

Databricks

Automation

Data Validation

Risk Reporting

Investment

Analytics

Machine Learning

Education

Relevant tertiary degree

Tools

Databricks

Python

SQL

Power BI

Excel

Job description

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 team's culture and commitment to deadlines.

Requirements

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