Junior Data Scientist — Quantitative Machine Learning

Location

About InvestorAI

InvestorAI is an AI-first fintech company that turns complex market data into real-time investment insights for global investors. We use cutting-edge AI techniques like deep learning, genetic algorithms, and intelligent data pipelines to build models that trade in live markets.

Now, we're looking for curious, motivated junior data scientists who are eager to learn, grow, and help shape the future of AI in finance.

Why This Role is Exciting

• Real-world Impact

  : Your work will contribute to models that power real-time trading decisions.

• Learning Environment

  : Get hands-on experience with machine learning in a live production setting.

• Innovative Projects

  : Learn about state-of-the-art techniques like CNNs, Transformers, and time-series analysis.

What You’ll Do

• Explore financial data to identify useful patterns and features.
• Support model development using Python and ML frameworks like TensorFlow or PyTorch.
• Assist in testing and deploying models into a live trading system.
• Monitor model performance and help troubleshoot issues.
• Collaborate with senior data scientists, engineers, and finance professionals.

What We’re Looking For

• 0–1 years of experience in machine learning or data science (internships/projects count).
• Strong programming skills in

  Python

  .
• Familiarity with machine learning concepts and libraries (e.g., scikit-learn, PyTorch, or TensorFlow).
• Good understanding of statistics and time-series data.
• Good communication skills and eagerness to learn.
• Bachelor’s degree in Computer Science (preferably pwith Data Science specialization)

Nice-to-Haves (Not Required, But a Plus)

• Experience with version control (Git), SQL, or Jupyter notebooks.
• Exposure to financial markets or interest in investing/trading.
• Participation in Kaggle competitions, open-source projects, or personal ML projects.