Finance Expert – Quant Research, Systematic Trading

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🕒 Julho 30

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Weekday (YC W21)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

💼 Consultoria

👥 RH Tech

☁️ SaaS

Consulting • HR Tech • SaaS

A Weekday é uma plataforma moderna de recrutamento que combina tecnologias de IA com um vasto banco de dados de potenciais candidatos, com o objetivo de agilizar e simplificar o processo de contratação para empresas na Índia. A empresa oferece diversos serviços, incluindo uma abordagem proativa de outreach que ajuda empregadores a se conectarem com talentos de ponta, além de ferramentas para que candidatos se candidatem facilmente a vagas. O foco da Weekday em engajamento de candidatos por múltiplos canais — incluindo e-mail, WhatsApp e ligações telefônicas — a diferencia no competitivo mercado de agências de recrutamento.

Descrição

• 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.

🎯 Requisitos

• 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.