AI-First Quantitative Researcher for Autonomous Trading

KDR Talent Solutions Ltd; New York (NY); Sur place; USD 175 000 - 250 000; Plein temps

Avantages offerts par ce poste

Health insurance

Catered meals

Onsite gym

Custom compensation package

Résumé du poste

KDR Talent Solutions Ltd. is partnering with a top-tier proprietary trading firm and AI-driven market maker to hire elite AI researchers. The role focuses on building autonomous trading systems using cutting-edge AI techniques in a fast-paced lab environment.

The team seeks world-class AI talent with a PhD and a track record in innovative research, ready to tackle complex datasets and craft novel trading strategies leveraging neural networks and prompt engineering.

Qualifications

• PhD in a quantitative field like Computer Science, Physics, Cognitive Science, or Applied Math.
• A real track record of original and impactful research in academic or professional settings.
• Deep practical experience with deep learning, large language models, or advanced neural networks.
• Highly proficient programming skills in Python, PyTorch, or TensorFlow.
• You do not need to know finance yet.

Responsabilités

• Dive into vast datasets to invent entirely new trading strategies from scratch.
• Apply deep neural networks, large language models, and advanced prompt engineering to discover market signals.
• Collaborate in an open, highly intellectual environment where AI experts and trading veterans share ideas to capture alpha.

Connaissances

Deep Learning

Python

PyTorch

TensorFlow

Research Experience

Formation

PhD in quantitative field

Description du poste

KDR Talent Solutions Ltd. is partnering with a top-tier proprietary trading firm and AI-driven market maker to hire elite AI researchers. The role focuses on building autonomous trading systems using cutting-edge AI techniques in a fast-paced lab environment.

The team seeks world-class AI talent with a PhD and a track record in innovative research, ready to tackle complex datasets and craft novel trading strategies leveraging neural networks and prompt engineering.