Sr Data Scientist NLP - Data Acquisition

Sr Data Scientist NLP - Data Acquisition

Montreal, Quebec  - Permanent

Job Description

Our clients equity trading team is looking for a Lead Data Scientist to spearhead the efforts of creating an equity trading model using NLP techniques. As a member of this team, you have the opportunity to build a state-of-the-art and evolving trading strategy from inception to completion in a growth-oriented environment that champions disruptiveness and embraces failures on the way to success.

What you’ll be working on…

Conducting cutting edge research to develop, implement, and perfect NLP-AI algorithms for text/language/speech processing and sentiment analysis

Applying quantitative techniques to large market datasets to obtain actionable insights and execute on them in real time

Collaborating with internal Trade Execution, Data Acquisition, and Quantitative Research experts to build a next generation trading engine

Building a world-class team of experts as required; striving to reach ambitious quantifiable long term goals, while presenting intermediate achievements

Being a leading AI authority within the firm; staying at the forefront of the newest technologies, prototypes, and being proactive in AI communities

Provide mentorship to your peers

Must Have Skills:

Have 5+ years of applied experience in AI and NLP

Preferably have experience in the financial industry with sound knowledge of investment concepts

Have expert understanding of machine learning techniques; knowledge of packages such as Tensorflow, Pytorch, Keras, Scikit Learn, Mat-plotlib, XGBoost

Have good knowledge of deep learning and more traditional machine learning algorithms

Have working knowledge of cloud computing such as AWS and Google Cloud

Have the ability to build, validate, deploy and monitor iteratively advanced predictive models

Have experience with embeddings, transfer learning, and interpretability methods

Have excellent scripting and programming skills (such as Python, SQL)

Have experience in conducting AI/ML projects

Have a positive, team-focused attitude and strong collaboration skills

Have excellent written and communication skills to present complete and cohesive findings

Have the ability to produce clear, logical and convincing arguments and explain complex ideas simply

Have experience with embeddings, transfer learning, and interpretability methods


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