Quantitative Investment Strategist

6 days ago


Montreal, Quebec, Canada Oxford Knight Full time

Oxford Knight is a systematic investment manager with deep expertise in quantitative trading, technology, and operations.

We are seeking to achieve high-quality, uncorrelated returns for clients through rigorous scientific research and model-based investment strategies.

As a data-driven firm, technology plays a critical role in our success. We design, build, and operate state-of-the-art systems, from high-performance automated trading platforms to large-scale data science and compute farms.

The ideal candidate will have a graduate degree in applied math, physics, engineering, quantitative finance, or computer science, along with 2+ years of experience with Python, C++, and standard libraries. Knowledge of Kdb+/q or database experience is advantageous. Additionally, the candidate should have working knowledge of finance, data storage, processing, and analysis, as well as advanced quantitative skills.

We are looking for an individual who can rapidly learn and apply new technologies, balance tactical work while pursuing long-term strategic projects, and communicate technical ideas effectively. A competitive salary in the range of $120,000 - $180,000 per year reflects the company's commitment to attracting top talent.



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