Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Quantitative Trader

Z1tech
CompanyZ1tech
CategoryFinance
LocationVancouver
RemoteHybrid
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted13 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (lever)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Job Overview We are seeking a highly analytical and detail-oriented Quantitative Trader/Researcher to join our dynamic team. This role involves developing and implementing quantitative models to identify trading opportunities in financial markets. The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector. This position offers an exciting opportunity to contribute to innovative trading strategies and advance your career in quantitative finance. Duties Conduct rigorous research to develop quantitative models for trading strategies across various asset classes Analyze large datasets to identify patterns, trends, and potential investment opportunities Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively Collaborate with team members to refine trading algorithms based on market conditions and new research findings Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies Document research processes, model assumptions, and performance metrics for ongoing review and improvement Experience Proven experience in research within the financial services industry, particularly in investment banking or asset management Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB Familiarity with financial markets, instruments, and trading platforms is highly desirable Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges Prior experience in developing or implementing algorithmic trading systems is a plus This role is ideal for individuals passionate about applying quantitative methods to finance, eager to contribute to cutting-edge trading strategies, and committed to continuous learning within a fast-paced environment.
HOUSE ADYou found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →