AI-Driven Quant Researcher & Portfolio Strategist

TED Optimus Sdn; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

TED Optimus Sdn in Kuala Lumpur is seeking a quantitative professional to develop, back-test, and deploy systematic trading strategies based on AI-generated signals. Candidates should have a strong quantitative background, deep understanding of market microstructures, and a proven risk management track record.

This role involves constructing portfolios, conducting research to improve execution, and continuously monitoring live performance. Proficiency in Python and familiarity with Git are essential.

Qualifications

• Strong quantitative background required.
• Deep understanding of market microstructure and systematic trading.
• Proven track record of disciplined risk management.
• Proficiency in Python and back-testing frameworks.
• Comfortable using Git.

Responsibilities

• Develop, back-test and deploy systematic trading strategies.
• Construct and optimize portfolios with disciplined position sizing.
• Research market microstructure to improve execution.
• Subject strategies to testing before deployment.
• Monitor live performance and refine strategies.

Skills

Quantitative background (statistics, mathematics, finance)

Understanding of market microstructure

Risk management

Python proficiency

Experience with back-testing frameworks

Git

Job description

TED Optimus Sdn in Kuala Lumpur is seeking a quantitative professional to develop, back-test, and deploy systematic trading strategies based on AI-generated signals. Candidates should have a strong quantitative background, deep understanding of market microstructures, and a proven risk management track record.

This role involves constructing portfolios, conducting research to improve execution, and continuously monitoring live performance. Proficiency in Python and familiarity with Git are essential.