Our client's Semi-Systematic Traders combine quantitative problem-solving skills, market expertise, game theory, and cutting-edge technology to generate profits through strategic risk-taking. Collaborating closely with Quantitative Researchers, Traders refine and develop innovative strategies across diverse asset classes, embodying a culture driven by meritocracy, integrity, and continuous learning.
Semi-Systematic Traders seamlessly integrate discretionary and systematic trading strategies to provide liquidity and make proactive, informed decisions. By applying creative problem-solving techniques and leveraging trading metrics alongside data analysis methods, they enhance trade selection, execution, and profitability. Success in this role demands sharp strategic thinking, a knack for optimization, and a relentless focus on results.
Ideal candidates possess expertise in trading complex financial products such as options, ETFs, and futures, paired with a strong foundation in Python, SQL, and R. An interest in game theory, decision-making strategies, and trading technologies is key. Outstanding problem-solving skills, the ability to perform under pressure, and a detail-oriented mindset are essential. Candidates should hold a bachelor's degree in STEM fields from a top university and demonstrate a drive to challenge the status quo.