Quantitative Researcher

About the Role

We are looking for a Quantitative Researcher to develop and implement systematic trading strategies using statistical methods, machine learning, and AI-driven automation. You will work at the intersection of finance, data science, and cutting-edge AI research.

Key Responsibilities

• Develop quantitative models, trading logic, and predictive signals
• Design and implement agent-based research workflows
• Build autonomous or semi-autonomous agents to run experiments and iterate on research outputs
• Integrate LLM-based agents into the quant research pipeline
• Analyze backtesting results and refine logic to improve performance
• Create reusable research components, templates, and tools
• Automate reporting, evaluation, and experiment tracking
• Collaborate with traders and portfolio managers to convert research into trading rules
• Communicate findings and insights to the broader team and stakeholders

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, Finance, or related field
• Strong Python programming skills with quantitative logic or time-series analysis
• Familiarity or strong interest in LLM agents, agentic workflows, AI-driven automation
• Strong analytical and problem-solving capability
• Ability to translate abstract ideas into executable logic and agent behavior
• Good communication skills in a fast-paced research environment