Quantitative Researcher & Trading Systems Developer (Algorithmic Trading)

numerixs technologies (numerixs quant) • Canada

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AI Summary

Join a data-driven firm in algorithmic trading as a Quantitative Researcher to develop predictive models, automate trading systems, and analyze complex datasets. This role requires a PhD in quantitative disciplines, Python proficiency, and expertise in statistical modeling. Drive end-to-end projects while collaborating with portfolio managers in a performance-driven environment.

Key Highlights

Develop predictive models to enhance existing trading strategies using Python and time-series databases (kdb+)

Automate trading systems by writing scalable, high-performance code for real-world financial applications

Analyze and interpret 'dirty' data to extract actionable investment signals for algorithmic trading

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Key Responsibilities

Drive end-to-end projects to completion, contributing to the refinement of existing trading strategies

Write and optimize Python code to automate all aspects of the trading system, including data processing and execution logic

Analyze and clean complex, noisy datasets to identify high-probability investment signals

Develop predictive models and quantitative frameworks to improve trading strategy performance

Take ownership of projects while collaborating with colleagues and portfolio managers

Technical Skills Required

Python Statistical Modeling Time-Series Databases

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Benefits & Perks

Annual bonus eligibility based on performance

Extended healthcare coverage including dental, vision, and a $1,000 Health Spending Account

RRSP matching up to 9% (maximum annual contribution of $13,250)

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Nice to Have

Experience with national/international math, physics, or computer science competitions

Advanced proficiency in C++, R, and kdb+

Experience working in Unix environments

Job Description

We are a data-driven company with a collegial atmosphere looking for team members who can do great work for application in the algorithmic trading industry.Our ideal candidate is a PhD graduate with experience in an academic or post-doc research workplace looking to apply their capabilities to the real world. Our approach is to train successful candidates about our industry, markets and products, as such we are looking for people seeking their initial foray in the financial markets.

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