PI Associates JSC is a quantitative asset management firm committed to building a fully systematic and research- driven investment platform. We combine scientific rigor, automation, and modern AI methodologies to uncover persistent market inefficiencies. Our research philosophy emphasizes reproducibility, disciplined experimentation, and continuous iteration.
As the firm evolves, we are moving beyond traditional, manually engineered models and transitioning toward an agentic research architecture—where autonomous research agents assist in data exploration, signal generation, model refinement, and strategy evaluation. This direction allows us to scale idea generation, accelerate experimentation, and push the boundaries of what modern quantitative research can achieve.
At PI Associates, researchers operate in a highly collaborative environment, working closely with traders and portfolio managers to turn research insights into deployable trading rules. We value engineering excellence, intellectual honesty, and the ability to translate complex ideas into clear, actionable systems. Our culture encourages curiosity, deep thinking, and the pursuit of high- impact research that drives long- term performance.
RESPONSIBILITIES
Develop quantitative models, trading logic, and predictive signals.
Integrate LLM- based agents into the quant research pipeline to automate repetitive modeling tasks.
Collaborate with traders and portfolio managers to convert research findings into deployable trading rules.
Automate reporting, evaluation, and experiment tracking.
Design and implement agent- based research workflows.
Create reusable research components, templates, and tools to accelerate agent- driven workflows.
Communicate findings and insights to the broader team and stakeholders
Build autonomous or semi- autonomous agents to run experiments, validate ideas, and iterate on research outputs.
Analyze backtesting results and refine logic to improve model and agent performance.
QUALIFICATIONS:
Strong analytical and problem- solving capability.
Bachelor&039;s degree in mathematics, statistics, computer science, finance, or a related field.
Good communication skills and ability to work in a fast- paced research environment.
Familiarity or strong interest in LLM agents, agentic workflows, AI- driven automation, or research agents.
Ability to translate abstract ideas into clear, executable logic and agent behavior.
Strong programming skills in Python, experience with quantitative logic, or time- series analysis.
WHY YOU WILL LOVE WORKING HERE
• Attractive salary and reward initiatives
• Professional and flexible working environment
• PC, monitors and anything you need
• Insurance & healthcare
