Strategic Finance AI Expert

Job not on LinkedIn

🕒 April 21

🇺🇸 United States – Remote

💵 $100 - $120 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

👻 Ghost score 52%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead the creation of robust, data-backed business cases for new initiatives, investments, and strategic projects. • Own the development and continuous refinement of unit economics frameworks across products, geographies, or customer segments. • Partner closely with senior leadership and board members to deliver clear, concise, and insight-rich financial narratives. • Integrate machine learning models and automation tools into financial planning and analysis (FP&A) processes. • Design and track key performance indicators (KPIs) aligned with business strategy.

🎯 Requirements

• Bachelor’s or Master’s degree in Finance, Economics, Business, Data Science, or a related field. • 3–8 years of experience in strategic finance, consulting, investment banking, or FP&A, with exposure to AI/analytics. • Strong expertise in financial modeling, valuation techniques, and scenario analysis. • Hands-on experience with data tools such as Python, SQL, or advanced Excel; familiarity with AI/ML frameworks is highly preferred. • Proven ability to translate complex data into clear business insights for senior stakeholders. • Excellent communication and storytelling skills, especially in executive-facing contexts.