AI Research Scientist / Quantitative Strategist - #189749

About Us:

Afuva is a dynamic financial trading company at the forefront of algorithmic and quantitative trading. We leverage cutting-edge machine learning and artificial intelligence technologies to optimize our trading strategies. We foster an environment of innovation and rapid growth, where data-driven insights translate into real-world results. We are now expanding our focus to explore broader AI applications beyond trading.

About the Role:

We're seeking a highly motivated and innovative AI Research Scientist / Quantitative Strategist with a proven track record of academic publication to join our team. This is a unique role that combines advanced quantitative trading strategy development with cutting-edge AI research. You'll be responsible for developing and implementing sophisticated trading algorithms while also exploring and identifying new AI-driven business opportunities for Afuva. A critical component of this role is the ability to conduct original research and publish findings in top-tier AI and finance journals and conferences. This role is ideal for someone who is passionate about both finance and AI, and who thrives in a fast-paced, research-driven environment.

Responsibilities:

• Develop and implement advanced quantitative trading strategies using machine learning and AI.
• Conduct in-depth research on AI applications in trading and other industries.
• Explore and identify new AI-driven business opportunities for Afuva.
• Design and execute experiments to test and validate AI models.
• Analyze large datasets to extract meaningful insights.
• Stay up-to-date with the latest AI research and trends.
• Collaborate with the founder to define and execute the company's AI research strategy.
• Conduct original research and publish findings in top-tier AI and finance journals and conferences.
• Present research findings and recommendations to the team.
• Help to create prototypes, and proof of concepts, for new AI products.

Qualifications:

• Advanced degree (Ph.D. strongly preferred) in computer science, artificial intelligence, mathematics, physics, or a related field.
• Demonstrated ability to publish research in reputable AI and finance journals and conferences.
• Strong background in quantitative finance and algorithmic trading.
• Extensive experience with machine learning and deep learning techniques.
• Proficiency in programming languages such as Python, R, or C++.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Passion for AI research and innovation.
• Experience with time series data is a plus.
• Experience in the financial markets is a plus.

What We Offer:

• Opportunity to lead cutting-edge AI research and build a publication portfolio in a dynamic startup environment.
• Access to significant resources and funding for AI research.
• Potential to shape the future direction of the company.
• Competitive compensation and benefits.
• A collaborative and innovative work culture.

To Apply:

Please submit your resume, a cover letter highlighting your relevant experience and research interests, and a portfolio of published research papers.