Quantitative Developer - US Market

Callisto Talent Solutions; Dubai; On-site; AED 450,000 - 750,000; Full time

Job summary

Callisto Talent Solutions client in Dubai-based crypto hedge fund startup seeking a Quant Developer to own and build trading infrastructure for US CME and equities, using Python.

This hands-on role requires delivering live trading systems, data pipelines, backtesting tools, and close collaboration with quant researchers to move strategies into production while ensuring stability.

Qualifications

• 4+ years of experience in building MFT or HFT infrastructure for US markets.
• Engineering degree from a Tier 1 institute.
• Advanced Python skills including async programming and production-grade development.
• Track record of building trading systems, backtesting engines, or market data infrastructure from scratch.
• Solid grasp of market microstructure, order books, and execution.

Responsibilities

• Build and run live trading systems covering order handling, execution, and risk checks.
• Develop data pipelines and analytics tools for real-time and historical data from US/CME markets.
• Design and maintain Python backtesting and simulation tools that realistically account for slippage and execution costs.
• Collaborate with quant researchers to move strategies from research into production.
• Keep the trading infrastructure stable and resilient through strong monitoring and alerts.

Skills

Advanced Python

Async programming

Production-grade development

Trading systems experience

Market microstructure knowledge

Education

Engineering from Tier 1 institute

Job description

Our client is Dubai based Crypto based hedge fund startup now expanding into US Commodities and Equities markets. They are looking for Quant Developer with experience building trading infrastructure for US Markets for CME or Equities markets using python. This is hands on role and requires someone to be hands on and take ownership of entire infrastructure.

Job Responsibilities

• Build and run live trading systems covering order handling, execution, and risk checks.
• Develop data pipelines and analytics tools for real-time and historical data from US/CME markets.
• Design and maintain Python backtesting and simulation tools that realistically account for slippage and execution costs.
• Collaborate with quant researchers to move strategies from research into production.
• Keep the trading infrastructure stable and resilient through strong monitoring and alerts.

Requirements

• 4+ years of relevant experience in building MFT or HFT Infra for US Markets.
• Engineering from Tier 1 institure
• Advanced Python skills, including async programming and production-grade development
• Track record of building trading systems, backtesting engines, or market data infrastructure from scratch
• Solid grasp of market microstructure, order books, and execution
• Clean, well-tested, and well-documented coding practices