Algorithm Developer (Quant Research & Trading) – 2027 Grads

b Overview /b p In this role you will build and maintain predictive trading models by applying rigorous statistical analysis to large market data. You will collaborate with researchers and software engineers to research and test novel order execution and model training methods, then run models on high-performance trading infrastructure and evaluate daily profitability. You will work independently and with cross-functional teams to solve long-term technical problems that drive trading efficiency. This position offers a chance to contribute to an advanced, science-driven trading environment with global scope. /p b Pay / Benefits /b ul li discretionary performance-based bonuses /li li competitive benefits package /li /ul b Responsibilities /b ul li Build and maintain predictive trading models /li li Apply statistical analysis to large market data sets /li li Research, develop, and test novel order execution methods /li li Develop and train models for improved trading efficiency /li li Run models on high-performance trading infrastructure /li li Analyze daily performance to maintain profitability /li /ul b Key requirements /b ul li Undergraduate or masters student in a quantitative discipline, eligible for full-time roles in 2027 /li li Experience programming in Python and/or C++ /li li Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB /li li Passion for applying quantitative models and technology to real-world problems /li li Strong analytical and problem-solving abilities /li li Ability to work creatively and independently on long-term technical problems /li /ul ul li brilliant analytical skills /li li creative and independent work style /li li strong problem-solving abilities /li li Python /li li C++ /li li Pandas/Numpy /li /ul