blocktech - Graduate Quantitative Trader

• An academic degree in Mathematics, Physics, Econometrics, Computer Science, or another quantitative field, with excellent study results • Strong numerical and analytical instincts: you can take a messy dataset and turn it into a clear, actionable insight • Programming experience in Python for analysis, tooling, and interaction with trading systems • Proven ability to quickly pick up new technologies, systems, and concepts • A genuine interest in financial markets and a curiosity about how and why they move • An ownership mindset: proactive, accountable, and comfortable making decisions with real consequences • A positive, can-do attitude, a creative mindset, and a long-term commitment to growing with us • Clear written and verbal English, and the ability to communicate effectively with traders, researchers, and engineers • Prior exposure to systematic strategies, through internships, personal projects, and/or competitions • At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.