Quantitative Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Conduct research, design, and develop quantitative investment and risk analysis to support QMAP's daily operations, encompassing investment analysis, risk reporting/analysis, portfolio development, and quantitative modeling.

• Collaborate with portfolio managers and risk teams to refine existing methods and create new approaches for investment analysis and portfolio construction.

• Clearly articulate the rationale behind recommendations and convey findings in a manner that is actionable and investment-focused.

• Comprehend, maintain, and enhance the infrastructure that supports both quantitative and qualitative research as well as investment processes.

• Create processes and procedures aimed at automating current data collection and maintenance, particularly within 3iQ’s performance database.

• Assess investment ideas through empirical analysis and conduct back-testing of strategies.

• Convert research findings into applicable portfolio recommendations.

• Partner with technology teams to develop and integrate new quantitative capabilities into the investment workflow.

⛳️ Requirements

• 2–4 years of experience in pertinent sectors of the financial industry, including portfolio analysis, risk analysis, optimization, or asset allocation.

• Background in risk research, quantitative portfolio construction techniques, investment management, and portfolio analyses.

• Demonstrated ability to perform rigorous independent empirical research and present innovative research concepts.

• Familiarity with quantitative portfolio and risk tools such as Bloomberg and crypto portfolio management systems.

• Excellent communication and presentation skills, particularly in translating complex quantitative analyses into clear, actionable investment insights.

• Proficient in Microsoft Excel.

• Strong programming and database skills, including experience with Python, R, SQL, and BI tools.

• High technical aptitude and flexibility.

• Strong collaboration and influencing abilities across investment teams.

• Keen attention to detail.

• Preferred experience with optimization methods and AI-driven research tools.

• Experience in digital asset trading is preferred but not mandatory.

• A graduate degree in a relevant field is strongly preferred, such as Finance, Engineering, Mathematics, Operations Research, Decision Science, or Computer Science.

• CFA designation is a plus.

🏝️ Benefits

• Competitive compensation package, including discretionary bonuses.

• Opportunity to be part of an innovative and rapidly growing industry.

• Remote-first team culture with a flexible work environment centered on results.

• Collaborative, low-ego culture that emphasizes strong execution.

• Annual company retreats for connection, collaboration, and rejuvenation.

• Birthdays off to celebrate your special day in your own way!

• Unlimited vacation policy.