Apply on Kit Job: kitjob.ca/job/2g8ny8

Build innovative machine learning models to power our analytics platform and advance quantitative research in a fast-paced fintech workplace. Responsibilities

Develop and deploy sophisticated machine learning algorithms for accurate market signal generation Process and analyze large, complex financial datasets to extract actionable insights Optimize model performance for low-latency, real-time trading applications Collaborate with researchers to translate theoretical concepts into practical implementations Requirements

Advanced proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, or similar) Demonstrated experience with cloud platforms (AWS, GCP, or Azure) for scalable deployments Strong knowledge of financial time-series data analysis and feature engineering Background in deep learning and natural language processing is a plus Interested in this role?

Send us your resume and a brief introduction. We review every application personally.

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Apply on Kit Job: kitjob.ca/job/2g8ny8

📌 Machine Learning Engineer (Toronto)
🏢 QuantOptimus
📍 Toronto