Job Description

Want to build trading systems that learn from every market move and actually run in production? Working with us at Abacus Strategic Advisory Sdn Bhd, you will combine machine learning research with hands-on trading engineering to improve performance across stocks and crypto. We are a focused fintech team that values clear models, fast iteration, and measured risk control so research converts into real trading advantage.

As an AI Quantitative Engineer you will be the Builder who takes signals from prototype to live strategy. You will design and scale AI/ML models, implement quantitative trading strategies in Python, and own the data pipelines and web scrapers that feed those models. You will also lead daily P&L analysis, model market-news impacts, guide the team on practical AI tools, and maintain longer-term strategy models so the desk can trade with confidence.

Job Requirements

Responsibilities:

• Build and iterate AI/ML models to predict stock and crypto price movements
• Develop quantitative trading strategies using Python
• Perform daily P&L analysis, investigating profit and loss drivers and providing insights into performance variances
• Monitor market-moving news (macro events, policy changes, sentiment) and model its impact on markets
• Build web scrapers and data pipelines using AI tools
• Use and guide the team on AI tools (ChatGPT, Cursor, etc.)
• Develop and maintain long-term strategy models

Qualifications:

• Strong Python skills — quantitative coding is a must
• Hands-on experience with AI/ML models
• Ability to use AI tools proficiently and guide others
• Interest in financial markets — stocks, crypto, macro
• Self-driven, fast learner, able to pick up trading concepts independently
• Able to build a web scraper using AI within 2 days (this will be tested)
• Experience with data pipelines and market data handling is a plus

Skills