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.
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.
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.
RESPONSIBILITIES
Automate reporting, evaluation, and experiment tracking.
Design and implement agent- based research workflows.
Collaborate with traders and portfolio managers to convert research findings into deployable trading rules.
Integrate LLM- based agents into the quant research pipeline to automate repetitive modeling tasks.
Develop quantitative models, trading logic, and predictive signals.
Analyze backtesting results and refine logic to improve model and agent performance.
Create reusable research components, templates, and tools to accelerate agent- driven workflows.
Build autonomous or semi- autonomous agents to run experiments, validate ideas, and iterate on research outputs.
Communicate findings and insights to the broader team and stakeholders
QUALIFICATIONS:
Familiarity or strong interest in LLM agents, agentic workflows, AI- driven automation, or research agents.
Strong programming skills in Python, experience with quantitative logic, or time- series analysis.
Bachelor&039;s degree in mathematics, statistics, computer science, finance, or a related field.
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.
Strong analytical and problem- solving capability.
WHY YOU WILL LOVE WORKING HERE
• PC, monitors and anything you need
• Insurance & healthcare
• Attractive salary and reward initiatives
• Professional and flexible working environment
