Quant Research Engineer
Core
Design, build, and maintain the firm's core quant pipelines, data infrastructure, and research/production compute environments, embedding AI-native capabilities into the research stack.
Role type
Senior IC Quant Research Engineer (Infrastructure & AI)
Builds
Core quant pipelines, data infrastructure, research and production compute environments
Domain
Quantitative Trading / High-Performance Computing / AI Infrastructure
Deliverable
infrastructure
Required skills
C++, Python, Cloud computing (AWS/GCP/Azure), Parallel computing, KDB+, Apache Spark, Dask, Redis, SQL, NoSQL, Docker, Kubernetes, Terraform, CI/CD, LLM APIs, Agent frameworks, RAG
Preferred skills
PhD in CS/Engineering/Physics/Math/Statistics, Olympiad gold medal, Prior experience at top-tier quant trading firm or leading AI/tech company, Hands-on AI/LLM engineering experience
Technologies
C++, Python, KDB+, Apache Spark, Dask, Redis, AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI
Responsibilities
Design and maintain core quant pipelines and data infrastructure; Drive architectural vision for next-gen data and compute platform; Partner with researchers to integrate components; Implement observability and AI-assisted operations; Automate workflows using infrastructure-as-code and AI coding agents
Seniority
Senior, hands-on IC
