AI/ML Researcher
Tasks
- Analyze large financial market datasets
- Build evaluation benchmarks
- Build machine learning and statistical models
- Collaborate with quant researchers traders and engineers
- Conduct execution related research
- Convert ideas into structured experiments with measurable outcomes
- Develop reusable research frameworks tools and best practices
- Fine-tune open-source models
- Generate prediction and trading signals
- Model short horizon noisy non stationary data
- Perform feature engineering
- Present research findings to stakeholders
- Research large neural networks behavior
- Study pricing and market microstructure
- Validate models and evaluate performance
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Deep learning | Feature Engineering | Fine Tuning | LLM | Linear Algebra | Machine Learning | Model Fine-tuning | Neural Networks | NumPy | Optimization | Pandas | Probability | Python | Scikit-learn | Series modeling | Statistics | Time Series | Time Series Modeling
Education
N/A
Roles
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