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Quantitative Developer, Entry Level

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Jobright.ai WorldQuant is a quantitative investment management firm that develops systematic financial strategies across global markets. They are seeking a Quantitative Developer to join their Artificial Intelligence team, where the individual will build and implement AI models to optimize the investment process. Responsibilities: Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more Implement AI solutions throughout the firm via collaboration with portfolio management, risk, and other research teams Access the firms state-of-the-art data and hardware systems Develop the foundational software used for AI at WorldQuant Qualifications: Required: At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains Hands-on experience building, testing and maintaining complex software systems Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders Experience developing AI/ML algorithms and infrastructure Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Preferred: Graduate-level research experience in Artificial Intelligence or related field, including work published and/or accepted to major a conference is a plus. C++ knowledge is a plus Company: WorldQuant is a quantitative investment management firm. Founded in 2007, the company is headquartered in Old Greenwich, Connecticut, USA, with a team of 501-1000 employees. The company is currently Late Stage. WorldQuant has a track record of offering H1B sponsorships. Seniority level

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