Remote Quantitative Trader | Algo Trading & Market Insight

Ladders; United States; Remote; USD 110,000 - 130,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Employer match

Vacation days

Wellness days

Sick days

Mental health days

Work abroad option

ERGs

Hybrid work

Job summary

Ladders is seeking a Quantitative Trader for a remote role with a finance-focused client. You will develop and operate quantitative trading strategies, build models and simulation tools, and collaborate with engineering, data science, and product teams to improve daily execution outcomes.

Ideal candidates have 3+ years in quantitative trading, a STEM degree, strong Python skills, and knowledge of Canadian equity markets and low-latency trading tech.

Qualifications

• 3+ years of experience in quantitative trading or a related capital markets role.
• STEM degree from a leading institution.
• Excellent Python scripting skills.
• Strong foundation in statistics and quantitative methods.
• Understanding of Canadian equity market structure.
• Familiarity with low-latency trading technologies.
• CIRO registration as a trader is a plus.

Responsibilities

• Build quantitative models to predict market movements.
• Model order flow characteristics to optimize trading decisions.
• Develop trading algorithms for order generation and routing.
• Manage daily operations of algorithmic trading systems.
• Respond to changing market conditions for optimal order placement.
• Design simulation frameworks to validate algorithm performance.
• Collaborate with engineering, data science, and product teams.

Skills

Python scripting

Statistics

Low-latency trading

Canadian market knowledge

Education

STEM degree

Job description

Ladders is seeking a Quantitative Trader for a remote role with a finance-focused client. You will develop and operate quantitative trading strategies, build models and simulation tools, and collaborate with engineering, data science, and product teams to improve daily execution outcomes.

Ideal candidates have 3+ years in quantitative trading, a STEM degree, strong Python skills, and knowledge of Canadian equity markets and low-latency trading tech.