Quantitative Researcher Python/SQL/AI/LLM

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, validate ideas, and iterate on research outputs.
• Integrate LLM-based agents into the quant research pipeline to automate repetitive modeling tasks.
• Analyze backtesting results and refine logic to improve model and agent performance.
• Create reusable research components, templates, and tools to accelerate agent-driven workflows.
• Automate reporting, evaluation, and experiment tracking.
• Collaborate with traders and portfolio managers to convert research findings into deployable trading rules.
• Communicate findings and insights to the broader team and stakeholders

• Bachelor'sdegree in mathematics, statistics, computer science, finance, or a related field.
• Strong programming skills in Python, experience with quantitative logic, or time-series analysis.
• Familiarity or strong interest in LLM agents, agentic workflows, AI-driven automation, or research agents.
• Strong analytical and problem-solving capability.
• Ability to translate abstract ideas into clear, executable logic and agent behavior.
• Good communication skills and ability to work in a fast-paced research environment.

• Attractive salary and reward initiatives
• Insurance & healthcare
• PC, monitors and anything you need
• Professional and flexible working environment