🛠 Tech Stack

💼 About This Role

You'll apply deep software engineering expertise to build, scale, and maintain core research infrastructure at a quantitative trading firm. You'll transform complex prototypes into production-ready applications and optimize large-scale data pipelines for speed and efficiency.

🎯 What You'll Do

• Optimize large-scale data pipelines for speed and efficiency
• Harden core simulation and backtesting frameworks
• Design and implement new libraries for rapid model testing
• Drive adoption of CI/CD and containerization practices

📋 Requirements

• 2+ years of full-time professional experience in quantitative research or software engineering
• Deep and practical expertise in Python and data science packages (pandas, numpy)
• Expertise working with both relational databases and NoSQL databases
• Comfortable with probability, statistical analysis, optimization, and numerical methods

✨ Nice to Have

• Experience in an algorithmic trading firm or similar high-performance environment
• Proficiency in C, C++, Rust, C#, Java, R, or Julia

🎁 Benefits & Perks

• 💰 Performance bonuses
• 🏥 Top-tier medical and dental coverage
• 🍽️ Catered lunch, snacks, and beverages
• 🏖️ Generous vacation policy
• 📚 Training opportunities and continuing education