Investment Banking Modeling Analyst

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🕒 February 25

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

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

• Convert complex investment banking and M&A processes into structured, knowledge-rich deliverables suitable for AI training and evaluation. • Build, review, and annotate advanced financial models, including LBO, M&A, three-statement, and valuation models. • Prepare and refine investor-grade materials such as Investment Committee (IC) memos, CIM sections, and due diligence reports. • Evaluate and enhance AI-generated financial analyses to ensure transaction accuracy, logical rigor, and professional clarity. • Curate and structure transaction datasets to support finance-focused AI systems. • Collaborate closely with product and engineering teams to accurately capture authentic deal dynamics and decision-making frameworks. • Maintain exceptional standards of written and verbal communication across all deliverables.

🎯 Requirements

• 2–7+ years of experience in Investment Banking, Private Equity, Venture Capital, Transaction Advisory, Corporate Development, or related transaction-focused roles. • Strong live deal exposure, including execution, diligence, and advanced financial modeling. • Deep expertise in valuation methodologies, including DCF, comparable company analysis, precedent transactions, and LBO modeling. • Demonstrated ability to produce polished, investor-ready work products under tight timelines. • Outstanding attention to detail with strong analytical and communication skills. • Highly organized and comfortable working independently in remote, asynchronous environments. • Authorized to work in the United States, United Kingdom, or Canada. • Experience in Infrastructure, Project Finance, Credit, Distressed, or Special Situations transactions (preferred). • Exposure to initiatives at the intersection of finance and technology (preferred). • Proven track record of collaborating with cross-functional teams on innovative or product-driven projects (preferred).