Job Post: Quantitative Researcher

About Us

We're a crypto quantitative trading startup that values clarity, speed, and measurable impact.

🎭 Role Overview

Develop and deploy predictive models for crypto markets, using machine learning and advanced analytics to drive trading strategies.

🎯 Key Responsibilities

• Develop time series prediction models for market movements
• Build automated feature engineering pipelines
• Implement real-time model performance monitoring
• Analyze prediction errors and market regime changes
• Validate strategies through historical simulation
• Iterate models based on live trading feedback

🛠️ Technical Requirements

• Production ML systems in Python
• Deep learning frameworks (TensorFlow/PyTorch)
• Time series model deployment experience
• Feature engineering and data pipeline expertise
• AWS SageMaker and model serving
• Statistical analysis and hypothesis testing

🌟 Demonstrated Success

• Quantifiable model performance improvements
• Feature engineering with measurable impact
• Model drift detection and mitigation
• Live model deployment and monitoring
• Data-driven research methodology
• Clear documentation of technical decisions

Why Join

We trade based on model predictions. Join a team where your models directly impact trading decisions and P&L. Fast iteration cycles with real market feedback.