Finance Expert - Quant Research & Systematic Trading
About The Position
This role is for one of our clients. A leading AI research initiative is launching a specialized Finance Sprint focused on evaluating the realism and technical accuracy of quantitative finance workflows. We are seeking experienced quantitative researchers and systematic trading professionals to assess whether complex finance tasks accurately reflect real-world industry practices. This is a high-impact, fast-paced engagement where your expertise will help ensure AI evaluation tasks measure genuine quantitative finance capabilities. The work involves reviewing confidential task scenarios, identifying weaknesses, and providing structured feedback to improve the realism, rigor, and practical relevance of each workflow. Due to the collaborative nature of the sprint, candidates should be available to actively participate throughout the engagement and respond promptly to project updates and feedback.
Requirements
- 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.
- 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.
Nice To Haves
- Experience reviewing research, mentoring analysts, establishing quality controls, or approving technical work is highly valued for senior-level reviewers.
Responsibilities
- 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.
Benefits
- Weekly payments are processed through supported payment platforms.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
