Private Equity Associate

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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

• Develop, review, and refine financial models to support AI training programs, ensuring technical accuracy and alignment with industry standards. • Translate market research, investment memos, and due diligence findings into structured AI training datasets and learning modules. • Partner with cross-functional stakeholders to convert complex financial concepts into clear, actionable AI training inputs. • Evaluate and improve AI-generated financial analyses, identifying gaps in reasoning, modeling assumptions, or valuation methodologies. • Contribute strategic insights to enhance the performance and effectiveness of AI-powered private equity and investment tools.

🎯 Requirements

• Minimum 2 years of experience in private equity and/or investment banking with a strong background in financial modeling. • Demonstrated expertise in market research, due diligence, valuation, and investment analysis. • Strong analytical capabilities with meticulous attention to detail. • Exceptional written and verbal communication skills, with the ability to clearly explain complex financial concepts. • Proven ability to manage stakeholders and collaborate across teams. • Strong problem-solving skills and the ability to work independently in a structured, deadline-driven environment. • Experience working with or training AI/ML systems in a financial context (preferred). • Advanced proficiency in Excel and financial modeling best practices (preferred). • Exposure to AI initiatives within private equity or investment banking environments (preferred).