Orderbook Signal Quant Researcher

DV Trading LLC; Dubai; On-site; AED 180,000 - 270,000; Full time

Job summary

DV Trading LLC is seeking a Quantitative Researcher focused on orderbook-driven signal generation. You will analyze high-frequency limit orderbook data, build and backtest models, and collaborate with senior researchers to translate findings into trading strategies.

The role emphasizes hands-on experience with LOB data, strong Python skills, and a solid statistics foundation to refine predictive signals for live markets.

Qualifications

• 1-3 years of professional or research experience with orderbook/LOB data.
• Quantitative degree in Math/Statistics/CS or related field.
• Strong Python skills with pandas/NumPy.
• Solid foundation in statistics and quantitative analysis.

Responsibilities

• Analyze high-frequency limit orderbook data to identify patterns and predictive signals.
• Build and backtest quantitative models using tick and orderbook data.
• Collaborate with senior researchers and traders to translate research into production-ready strategies.
• Develop and maintain data pipelines for processing large-scale market data.
• Apply tree-based machine learning methods to improve signal quality.
• Monitor and iterate on live signals and models based on performance.

Skills

Python

Pandas

NumPy

Quantitative analysis

Education

Quantitative degree in Math/Statistics/CS

Job description

DV Trading LLC is seeking a Quantitative Researcher focused on orderbook-driven signal generation. You will analyze high-frequency limit orderbook data, build and backtest models, and collaborate with senior researchers to translate findings into trading strategies.

The role emphasizes hands-on experience with LOB data, strong Python skills, and a solid statistics foundation to refine predictive signals for live markets.