We are an AI-first quantitative trading fund focused on US small-cap equities, crypto, options, and futures. Our edge comes from rapid feature discovery, systematic strategy generation, and the development of multi-agent AI frameworks that continuously generate, evaluate, and evolve trading strategies.
We are seeking a Quant Research Analyst Intern to join our team and help design, test, and deploy multi-agent AI systems for quantitative trading research. This is a hands-on role with real impact, where you will work directly on live research pipelines.
Key Responsibilities
AI-Driven Research: Use large language models and multi-agent frameworks to generate, classify, and refine trading features and strategies.
System Development: Assist in building and testing agentic workflows for continuous strategy generation (feature discovery → backtest → evaluation → iteration).
Quantitative Analysis: Develop and evaluate statistical/ML models to detect alpha, regime changes, and market patterns in intraday and cross-asset contexts.
Backtesting & Simulation: Work with our custom C++/Python backtesting engines to validate hypotheses and interpret performance results.
Feature Engineering: Design new contextual factors (price action, liquidity, sentiment, breadth, etc.) and test their predictive power on trade outcomes.
Collaboration: Work closely with researchers, traders, and AI engineers to integrate your outputs into production pipelines.
Requirements
Strong background in quantitative fields (Math, Stats, CS, Engineering, Economics, or similar).
Proficiency in Python (pandas, numpy, scikit-learn). C++ exposure is a plus.
Understanding of machine learning concepts (feature generation, model evaluation, cross-validation).
Familiarity with financial markets (equities, options, or crypto) and basic trading concepts.
Interest in AI/LLMs and experience with tools like GPT, Claude, or LangChain is highly preferred.
Ability to think creatively about quantifying market psychology, order flow, and supply/demand imbalances.
Strong analytical skills and ability to work in a fast-paced, research-driven environment.
What You’ll Gain
Hands-on experience with AI-driven quant systems and next-generation multi-agent research frameworks.
Exposure to a systematic trading workflow, from idea generation to live strategy evaluation.
Opportunity to publish internal research, contribute features to our backtesting engine, and impact live trading.
Mentorship from experienced quant traders, researchers, and AI engineers.
Potential for full-time conversion upon successful completion.
Related Job Searches:
- Company:
J&D Holdings - Designation:
Quant Research Analyst Intern (AI & Multi-Agent Systems) - Profession:
Engineering - Industry:
Finance - Location:
Bukit Merah