Job description for Quantitative Researcher at Pi Associates
PI ASSOCIATES JSC. is offering internship positions for highly motivated individuals who aspire to become talented quantitative researchers and join our team of finance professionals. The ideal candidate will have a passion for using data and mathematical models to make informed investment decisions and drive alpha generation in the stock market.
As a quantitative researcher, you will play a critical role in designing, testing, and implementing algorithmic trading strategies that identify and capture profitable trading opportunities. You will work closely with our team of traders, data scientists, and portfolio managers to analyze large datasets and develop predictive models that inform our trading decisions.
The ideal candidate will have a major in mathematics, statistics, and computer science, as well as experience in developing and applying machine learning algorithms to financial data. In addition to your technical skills, you should be a creative problem-solver with excellent communication and collaboration skills, able to work effectively in a fast-paced, high-pressure environment.
This is an exceptional opportunity to join a dynamic and innovative organization at the forefront of the financial industry. If you have a passion for using data and technology to drive financial success, we encourage you to apply.
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
QUALIFICATIONS:
• 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 WILL LOVE WORKING HERE
• Attractive salary and reward initiatives
• Insurance & healthcare
• PC, monitors and anything you need
• Professional and flexible working environment
