Quantitative Software Engineer: ML, Math & LargeScale

A renowned consulting firm in Toronto is looking for a Quantitative Software Engineer to tackle complex computational challenges. Responsibilities include developing systems for machine learning and quantitative algorithms, while collaborating with research partners. Ideal candidates have a BS in Computer Science or Applied Mathematics, strong programming skills in Python, and familiarity with libraries like NumPy and SciPy. The role offers competitive compensation, including a base salary range of $165,000 to $250,000, alongside extensive benefits and perks.
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