Edge-Driven Quantitative Trader (Hybrid)

Jaide Health; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Wealthsimple is seeking a Quantitative Trader to research, build models, and translate insights into actionable algorithms that give us an edge in the markets. You will also manage the daily trading operations of these systems and iterate quickly as conditions change.

You should be a self-starter with strong Python coding, solid statistical foundations, and a passion for financial markets. This role offers a hybrid setup across North America.

Qualifications

• Minimum 3+ years in quantitative trading, research, or related capital markets role.
• STEM degree from a leading institution is required.
• Strong Python scripting and data analysis skills are essential.
• Solid foundation in statistics, probability, and quantitative methods.
• Familiarity with Canadian equity market structure is a plus.
• Experience with low-latency trading technologies is preferred.
• CIRO registration as a trader is an asset.

Responsibilities

• Build quantitative models describing market behavior and liquidity profiles.
• Model order flow characteristics to inform routing, execution, and risk decisions.
• Develop and deploy trading algorithms with engineering partners for production use.
• Oversee daily trading operations of algorithmic systems.
• Adapt strategies to changing market conditions and validate performance against historical data.
• Collaborate with engineering, data science, operations, and product teams.

Skills

Quant trading

Python scripting

Statistics and econometrics

Market microstructure

Data-driven decisions

Canadian equity market knowledge

Low-latency trading

Cross-functional collaboration

Education

STEM degree

Tools

Low-latency trading tech

Trading algorithms deployment

Job description

Wealthsimple is seeking a Quantitative Trader to research, build models, and translate insights into actionable algorithms that give us an edge in the markets. You will also manage the daily trading operations of these systems and iterate quickly as conditions change.

You should be a self-starter with strong Python coding, solid statistical foundations, and a passion for financial markets. This role offers a hybrid setup across North America.