Remote Quant Research & Systematic Trading Expert

Weekday AI; United States; Remote; USD 234,000 - 303,000; Full time

Job summary

Weekday AI is seeking experienced quantitative researchers and systematic trading professionals for a remote Finance Sprint. You will evaluate realism, accuracy, and practicality of finance workflows, reviewing confidential task scenarios and providing structured feedback to improve rigor and relevance.

Candidates should have 5–8 years (Researcher) or 8–15 years (Senior Reviewer) in quantitative research, trading, or related fields, with strong Python skills and attention to detail.

Qualifications

• 5–8 years of relevant experience for the Researcher Track, or 8–15 years for the Senior Reviewer Track.
• Professional experience in quantitative research or systematic trading, portfolio construction, or related quantitative investment disciplines.
• Strong Python programming skills with hands-on experience developing, validating, or reviewing quantitative research workflows.
• Excellent written communication and attention to detail with structured quality standards.

Responsibilities

• Review quantitative finance tasks and workflows for technical accuracy, realism, clarity, and internal consistency.
• Evaluate whether datasets, assumptions, constraints, and workflows reflect real-world quantitative research and trading practices.
• Identify missing assumptions, ambiguous instructions, unrealistic constraints, unsupported requirements, and edge cases.
• Assess whether tasks measure practical quantitative finance capabilities, not just theory.
• Provide concise, structured written feedback with actionable recommendations to improve task quality.
• Collaborate with subject matter experts to calibrate evaluations and maintain quality.

Skills

Quantitative research

Systematic or algorithmic trading

Portfolio construction

Quantitative portfolio management

Financial engineering

Data quality/validation

Python programming

Backtesting

Tools

Python (NumPy/SciPy)

Job description

Weekday AI is seeking experienced quantitative researchers and systematic trading professionals for a remote Finance Sprint. You will evaluate realism, accuracy, and practicality of finance workflows, reviewing confidential task scenarios and providing structured feedback to improve rigor and relevance.

Candidates should have 5–8 years (Researcher) or 8–15 years (Senior Reviewer) in quantitative research, trading, or related fields, with strong Python skills and attention to detail.