About Us:
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.
With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.
Responsibilities
- Develop Spark / Databricks pipelines to create and maintain a robust feature store from raw trade, equity and funding-rate data.
- Implement rule-based baselines (e.g. last-20-trade ROI, disposition metrics) and run back-tests.
- Prototype logistic, tree-based and deep-learning (DL / DNN) models; iterate quickly on cross-validation loops.
- Package trained models for real-time scoring and set up basic monitoring dashboards.
Requirements
- Final-year masters student.
- Strong Python (pandas, NumPy) and SQL; able to write clean, reproducible code.
- Familiarity with PySpark or another distributed data framework.
- Good grasp of statistics, probability and linear algebra.
- Clear written and spoken English; can explain technical ideas to non-experts.
Extra Qualification
- Major in Computer Science, Artificial Intelligence or similar.
- Coursework or projects in machine learning / deep learning (scikit-learn, XGBoost, PyTorch or TensorFlow).
- Interest in deploying models for real-time inference and basic DevOps practices.
