Do you want to build models that actually fight fraud, predict client moves, and optimize portfolios? Then this is the right opportunity for you. Our client, an industry leading firm in the financial analytics industry, is on the hunt for a sharp, curious Graduate/Junior Data Scientist who is eager to apply their skills in real-world financial contexts. From fraud detection to portfolio optimization, your work will help shape smarter strategies and drive innovation.

Key Responsibilities: What You'll Do:

• Explore and prepare structured & unstructured financial data
• Support machine learning model development and anomaly detection
• Build reports and dashboards (Power BI) to share insights
• Collaborate with analysts, engineers, and business teams to deliver actionable solutions
• Contribute to automation tools that streamline operations

Key Requirements & Skills: What We're Looking For:

• Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field
• 0-2 years of experience in data analysis or data science (finance industry exposure a plus)
• Proficiency in Python (pandas, matplotlib, and scikit-learn)
• Familiarity with SQL, Power BI, and Excel
• Strong analytical mindset with excellent communication skills

What's In It For You?:

• Real-World Impact: Your work helps protect assets and optimize investments.
• Mentorship: Work alongside seasoned pros who want to see you grow.
• Career Growth: Professional development and keeping your skills sharp.
• The Perks: Competitive salary, retirement plan, and a dynamic office culture.

If you're obsessed with Python, love a clean dataset, and want to see your code make a real-world impact, this is your launchpad.

Apply now!

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Software Development
Data Engineer
Data Analyst
Infrastructure
Architecture
... and more!

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information contact:
Evandria Rademeyer
Researcher

For more information please contact:

Evandria Rademeyer