QAVETA / Careers
Build trading technology with us.
Join Qaveta, a quantitative technology studio developing MT5 EA products, financial models and cloud workspaces. We welcome remote applicants worldwide.
Worldwide · Remote
We review applications and reply within 1–3 business days.
01 / QAVETA
MT5 EA Developer
Develop reliable MQL5 expert advisors and tools, turning defined trading rules into maintainable, testable products.
What you will do
- Develop and maintain MT5 EAs, indicators and trading panels.
- Implement order handling, position management, risk controls and online Key authorization.
- Run Strategy Tester checks, diagnose execution issues and document releases.
What you bring
- Practical MQL5 experience with MT5 trading APIs, event handling and asynchronous execution.
- Understand netting and hedging accounts, pending orders, broker constraints and reconnection scenarios.
- Write clear code, use version control and test with realistic costs and data.
- Provide examples of EA development; API integration or C++/C# experience is a plus.
02 / QAVETA
Financial Machine Learning Engineer
Research and train models for financial time series, with an emphasis on reproducible experiments, rigorous validation and dependable inference.
What you will do
- Build market-data pipelines, feature sets and training datasets.
- Train, fine-tune and compare time-series or other suitable machine learning models.
- Design walk-forward and out-of-sample evaluations that account for data leakage and trading costs.
- Deliver versioned models, reproducible experiments and production inference interfaces.
What you bring
- Strong Python skills and practical experience with PyTorch or TensorFlow.
- Understand time-series splits, non-stationarity, leakage, overfitting and uncertainty.
- Experience with data quality, experiment tracking and model performance monitoring.
- Financial ML research, reproducible projects or deployed model examples; distributed training and inference optimization are a plus.
Application process
Send your application → Initial review within 1–3 business days → Technical or experience discussion → Scope and terms agreed before starting.
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