Description :

Role Summary :

Looking for a code-driven QA Test Automation Engineer to validate machine learning models and algorithmic trading systems. This role focuses on Python-based validation, data integrity checks, and quantitative model analysis - not manual testing.

Key Responsibilities :

- Validate ML model outputs and trading strategies using Python (Pandas, NumPy)

- Verify backtesting results and financial metrics independently

- Perform SQL-based dataset validation

- Detect edge cases, data leakage, overfitting, and model drift

- Conduct stress testing under extreme market scenarios

- Collaborate with Quant & Engineering teams to define quality gates

Mandatory Skills :

- Strong Python fundamentals

- Solid SQL knowledge

- Understanding of ML model behavior and validation concepts

- Analytical mindset with attention to failures and anomalies

- Experience in code-based testing / automation

Nice to Have :

- Exposure to trading systems or financial markets

- Jupyter / backtesting environments experience