Real-Time FinTech ML Engineer: Market Signals

QuantOptimus; Canada; A distancia; CAD 80.000 - 120.000; Jornada completa

Descripción de la vacante

A fintech company in Canada is seeking a skilled Machine Learning Engineer to build innovative models that power their analytics platform. Responsibilities include developing algorithms for accurate market signal generation and analyzing complex financial datasets. The ideal candidate has advanced Python proficiency and experience with cloud platforms for scalable deployments. A background in financial time-series data analysis and deep learning is advantageous. This role is crucial for advancing quantitative research in a fast-paced environment.

Formación

• Advanced proficiency in Python and experience with machine learning frameworks required.
• Experience with AWS, GCP, or Azure for deploying models is necessary.
• Strong knowledge of financial time-series data analysis and feature engineering is needed.

Responsabilidades

• Develop and deploy sophisticated machine learning algorithms for market signal generation.
• Analyze complex financial datasets to extract actionable insights.
• Optimize model performance for low-latency, real-time trading applications.
• Collaborate with researchers to implement theoretical concepts.

Conocimientos

Python

Machine learning frameworks (TensorFlow, PyTorch)

Cloud platforms (AWS, GCP, Azure)

Financial time-series data analysis

Deep learning

Natural language processing

Descripción del empleo

A fintech company in Canada is seeking a skilled Machine Learning Engineer to build innovative models that power their analytics platform. Responsibilities include developing algorithms for accurate market signal generation and analyzing complex financial datasets. The ideal candidate has advanced Python proficiency and experience with cloud platforms for scalable deployments. A background in financial time-series data analysis and deep learning is advantageous. This role is crucial for advancing quantitative research in a fast-paced environment.