Finance Specialist

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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

• 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.

🎯 Requirements

• 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.