AI Research Scientist, Ahuntsic North

About Us

Afuva is a pioneering technology company specializing in advanced AI solutions. We develop cutting-edge AI for smart devices, home automation, image and vision, and wearable technology, alongside robust quantitative frameworks for finance and investment. Our mission is to transform industries and enhance daily life through intelligent innovation.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.

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