Junior AI Research Scientist (CEO Direct)
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Junior AI Research Scientist (CEO Direct)
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Job Summary:
WorldQuant is a quantitative investment management firm that develops systematic financial strategies across a range of asset classes. They are seeking an AI Research Scientist to leverage expertise in artificial intelligence and machine learning to transform data into actionable insights for executive decision-making.
Responsibilities:
• Lead advanced AI research to explore novel deep learning, LLM, and machine learning methodologies that support streamlined decision-making.
• Translate complex organizational data and multifaceted challenges into clear, actionable insights for senior leadership.
• Design, develop, and fine-tune AI models and analytical frameworks tailored to detect emerging challenges and operational inefficiencies.
• Ensure solutions are scalable and directly support effective strategic and tactical decision-making across the organization.
• Act as a key interface between grassroots insights and executive decision-makers, transforming technical findings into comprehensible, high-level recommendations.
• Foster open dialogue by engaging with various stakeholders, ensuring that data-driven narratives inform the CEO Direct team’s strategic discussions.
• Create and maintain robust dashboards, reports, and communication tools that clearly outline team objectives, follow-up actions, and realized outcomes post-discussions.
• Develop processes to track the impact of decisions and ensure that innovative ideas are effectively integrated into strategic plans.
• Stay current with the latest trends in AI, machine learning, and data visualization, applying emerging techniques to further enhance decision support practices.
• Mentor team members and share insights across the organization to encourage a culture of data-driven innovation and transparency.
Qualifications:
Required:
• A Ph.D. or equivalent advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a top-tier institution.
• At least 2 years of experience in a role focused on research in the AI, ML, DL, RL, or LLM space.
• Extensive research experience with a strong track record in AI, including work on deep neural networks, LLMs, or other advanced machine learning approaches.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; familiarity with C++ is a plus.
• Demonstrated ability to apply AI research to real-world problems, particularly in handling and analyzing large and complex datasets.
• Excellent analytical, problem-solving, and communication skills, with the capability to simplify complex ideas for diverse audiences.
• A passion for innovation and the drive to continuously push the boundaries of what AI can achieve in quantitative finance.
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.
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