Join to apply for the Junior Quantitative Developer - AI Implementation role at Jobright.ai
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Join to apply for the Junior Quantitative Developer - AI Implementation role at Jobright.ai
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Job Summary:
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. They are seeking a Quantitative Strategist to join the Artificial Intelligence team, where the individual will help implement AI solutions throughout the investment process and collaborate with various teams to optimize trading strategies.
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, headquartered in Old Greenwich, Connecticut, USA, team size 501-1000 employees, currently Late Stage. WorldQuant has a track record of offering H1B sponsorships.
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