AI Research Scientist / Quantitative Strategist
Location: Ottawa, Ontario, Canada
Job Description
# 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 (AI) 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.