Finance Specialist

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🕒 Julho 29

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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

• Partner with research and engineering teams to improve AI models' understanding of financial reasoning, analysis, and decision-making. • Design challenging, real-world finance tasks covering a broad range of financial concepts and business scenarios. • Develop accurate, well-reasoned reference solutions based on industry best practices and professional expertise. • Evaluate AI-generated outputs using structured scoring rubrics, providing detailed written feedback on technical accuracy, reasoning quality, and financial judgment. • Create and refine evaluation frameworks, quality standards, and scoring guidelines for finance-related tasks. • Collaborate with fellow subject matter experts to ensure consistency, reliability, and high-quality training data. • Help identify knowledge gaps and recommend improvements that enhance AI performance across finance use cases.

🎯 Requisitos

• 8+ years of professional experience in finance, including one or more of the following areas: • - Investment Banking • - Asset Management • - Corporate Finance • - Financial Advisory • - Experience gained at a recognized, high-performing financial institution, consulting firm, or equivalent organization. • - Mandatory: Prior hands-on experience evaluating LLM/AI model outputs using structured rubrics or scoring frameworks. Applicants should clearly describe this experience in their application. • - Demonstrated career progression through increasing levels of responsibility. • - Ability to commit at least 35 hours per week during weekdays. • - Strong analytical, problem-solving, and financial reasoning skills. • - Excellent written and verbal communication abilities with exceptional attention to detail. • Preferred Qualifications • - Experience developing financial models, valuation analyses, investment recommendations, or strategic financial planning. • - Familiarity with AI evaluation methodologies, human-in-the-loop review processes, or data quality programs. • - Experience designing evaluation frameworks, quality assurance processes, or structured review systems. • - Background mentoring analysts, reviewing complex financial work, or leading cross-functional initiatives. • - Interest in applying financial expertise to emerging AI technologies.