Senior Quantitative Analyst, Trading Systems & ML

Unchain Data; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

RobotBulls is expanding its research team to design, test, and deploy quantitative trading strategies across crypto and traditional markets. You will work with the CTO and engineering to enhance predictive models, incorporate alternative data including sentiment signals, and scale automated trading robots on the RobotBulls platform.

The role emphasizes high impact in a small, agile team, with an opportunity to shape product direction and stay at the forefront of quantitative finance and

Qualifications

• PhD or MSc in a quantitative field.
• 5+ years in quantitative research or algorithmic trading or systematic strategy development.
• Expert Python with NumPy, Pandas, scikit-learn and ML frameworks.
• Strong statistics, time-series analysis, econometrics applied to financial markets.
• Proven track record of profitable systematic strategies with verifiable metrics.
• Deep knowledge of crypto markets, exchange APIs, and on-chain data analytics.
• Experience with backtesting frameworks (Backtrader, Zipline, vectorbt).
• Ability to work autonomously in a small startup team.

Responsibilities

• Design and implement systematic trading strategies across crypto and equity markets.
• Develop and refine predictive models using historical data and alternative data.
• Backtest, validate, and optimize strategies; monitor live performance.
• Build data pipelines for large-scale financial datasets.
• Collaborate with engineers to productionize models into trading robots.
• Research new data sources and ML techniques to improve signals.
• Study market microstructure, regime detection, and risk management for automated trading.
• Incorporate DeFi protocols and on-chain data into strategies.

Skills

Python programming

Statistical analysis

Time-series analysis

Machine learning

Quantitative research

Education

MSc/PhD in Quantitative Finance or related

Tools

Backtrader

Zipline

vectorbt

NumPy/Pandas

scikit-learn

PyTorch / TensorFlow

Job description

RobotBulls is expanding its research team to design, test, and deploy quantitative trading strategies across crypto and traditional markets. You will work with the CTO and engineering to enhance predictive models, incorporate alternative data including sentiment signals, and scale automated trading robots on the RobotBulls platform.

The role emphasizes high impact in a small, agile team, with an opportunity to shape product direction and stay at the forefront of quantitative finance and