Top 3 Reasons To Join Us
The Job
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
Your Skills and Experience
- 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.
Why You'll Love Working Here
- Attractive salary and reward initiatives
- Insurance & healthcare
- PC, monitors and anything you need
- Professional and flexible working environment