Finance Expert - Quant Research & Systematic Trading

• 5–8 years of relevant experience for the Researcher Track, or 8–15 years for the Senior Reviewer Track.
• Professional experience in one or more of the following:
• Quantitative Research
• Systematic or Algorithmic Trading
• Portfolio Construction
• Quantitative Portfolio Management
• Financial Engineering
• Related quantitative investment disciplines
• Strong Python programming skills with hands-on experience developing, validating, or reviewing quantitative research workflows.
• Deep understanding of:
• Research methodology and bias
• Data quality and validation
• Backtesting best practices
• Transaction costs and market impact
• Risk modeling
• Portfolio implementation constraints
• Quantitative model evaluation
• Excellent written communication skills with the ability to clearly explain evaluation decisions and professional reasoning.
• Exceptional attention to detail, sound judgment, and the ability to consistently evaluate work against structured quality standards.
• Experience reviewing research, mentoring analysts, establishing quality controls, or approving technical work is highly valued for senior-level reviewers.

• →Review quantitative finance tasks and workflows for technical accuracy, realism, clarity, and internal consistency.
• →Evaluate whether provided datasets, assumptions, constraints, and expected workflows accurately represent real-world quantitative research and systematic trading practices.
• →Identify missing assumptions, ambiguous instructions, unrealistic constraints, unsupported requirements, and critical edge cases.
• →Assess whether tasks effectively measure practical quantitative finance capabilities rather than theoretical knowledge alone.
• →Provide concise, structured written feedback along with actionable recommendations to improve task quality and realism.
• →Collaborate with fellow subject matter experts to calibrate evaluations and maintain consistent quality standards across the project.

High-quality AI systems require evaluation tasks that accurately reflect the complexity of real-world quantitative finance. Your expertise will help ensure AI models are assessed against authentic industry practices, enabling more reliable benchmarking and meaningful performance improvements.

We are committed to fostering an inclusive environment and welcome qualified applicants from all backgrounds. All employment decisions are made without regard to legally protected characteristics, and reasonable accommodations are available throughout the application and engagement process upon request.

• Independent contractor engagement.
• Fully remote with flexible working hours.
• High-engagement project with the potential for extension based on business needs and individual performance.
• Weekly payments are processed through supported payment platforms.
• Applicants must be legally authorized to work in the applicable hiring location. Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this opportunity.