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Z1 Tech

Quantitative Researcher

Z1 Tech

. Conduct rigorous research to develop quantitative models for trading strategies across various asset classes .

Posted 10/5/2026full-timeVancouver • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative modeling, algorithmic trading, and risk analysis within the financial services sector. Proficient in analyzing large datasets and developing innovative investment strategies using advanced mathematics and programming languages.

Highest-signal resume keywords
Quantitative ModelingAlgorithmic TradingStatistical AnalysisPython ProgrammingRisk Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative ModelingStatistical AnalysisData AnalysisAlgorithm DevelopmentBacktestingOptimizationRisk ManagementAdvanced MathematicsInvestment StrategiesFinancial Analysis
Soft Skills
CollaborationProblem SolvingCommunication
Tools & Technologies
PythonRMATLABTrading PlatformsData Analysis Tools
Industry Keywords
Financial ServicesInvestment BankingAsset ManagementFinancial MarketsTrading Strategies

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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