We are a data-driven company with a collegial atmosphere looking for team members who can do excellent work for application in the algorithmic trading industry. Our ideal candidate is a PhD graduate with experience in an academic or post-do 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. You are performance and results driven. You continuously seek to understand new and better approaches to analyze and interpret ‘dirty’ data to improve investment results. You enjoy coding. For individuals currently living outside of Vancouver,

we offer
relocation assistance. Drive projects to completion that will contribute to an existing trading strategy Code in Python and use relational time-series databases (kdb+) Analyze ‘dirty’ data sets to identify possible investment signals Take charge of your own projects,



while collaborating with your colleagues and with the portfolio manager Mandatory: PhD and Advanced Degree/Masters in in mathematics, physics, hard sciences or related fields in quantitative disciplines. Programming experience in Python Thrive in a performance-based environment Experience participating in national or international math, physics or computer science competitions is strongly preferred Strong experience with C++, R and kdb+ and working in a Unix environment Legally entitled to work in Canada (however for exceptional candidates we can provide immigration assistance) Annual bonus eligibility based on performance Extended healthcare coverage
* Dental and vision care
* $1,000 per year Health Spending Account (for physiotherapy, massage therapy, and other eligible expenses)
* not eligible for internships

📌 Researcher (Data Analysis) (Canada)
🏢 NumerixS Technologies (NumerixS Quant)
📍 Canada