Quantitative Researcher

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.

Flexible Hours

Annual Leave

Health Insurance

Team-building events

Transport Money

Laptop Provided

Training/Certification

Career Path