Finance Expert – Quant Research, Systematic Trading

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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.

🎯 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. • Experience reviewing research, mentoring analysts, establishing quality controls, or approving technical work is highly valued for senior-level reviewers.