Low-Latency Quant Strategist (Trading Systems)

Akuna Capital; Chicago (IL); Sur place; USD 131 000 - 160 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits

Discretionary bonus

Résumé du poste

Akuna Capital in Chicago seeks a Quantitative Strategist to join a team of mathematicians, researchers and technologists. You will design and implement production trading code and pricing models to improve performance.

The ideal candidate has 3+ years in a quantitative or programming role, a technical degree, and strong Python skills (C++ a plus). You will work with researchers and traders in a fast-paced, data-driven environment with a competitive package.

Qualifications

• Bachelor's, Master's or PhD in a technical field required upon employment
• 3+ years of experience in a quantitative or programming role, ideally in finance/trading
• Proficient in Python; C++ a plus; strong math and statistics foundations
• Deep understanding of linear algebra, numerical methods, statistics, optimization, signal processing, HPC
• Comfort with learning financial markets and fast-changing market conditions

Responsabilités

• Design and develop production code for trading strategies, pricing models and execution logic
• Analyze market signals and incorporate them into trading systems
• Advance codebase with optimizations and new solutions aligned with trading goals
• Prototype cutting-edge trading solutions driven by quantitative analysis
• Stay ahead of industry trends to inform strategy adjustments
• Respond quickly to market changes and solve math and coding challenges
• Engage in ongoing learning to deepen understanding of markets and strategies

Connaissances

Python

C++

Quantitative analysis

Financial markets

High-performance computing

Formation

Bachelor's/Master's/PhD in STEM

Outils

Git

Linux

Description du poste

Akuna Capital in Chicago seeks a Quantitative Strategist to join a team of mathematicians, researchers and technologists. You will design and implement production trading code and pricing models to improve performance.

The ideal candidate has 3+ years in a quantitative or programming role, a technical degree, and strong Python skills (C++ a plus). You will work with researchers and traders in a fast-paced, data-driven environment with a competitive package.