[Hiring] Finance Professional @Weekday AI

Role Description

We are seeking highly skilled Finance Professionals with experience at leading global financial institutions, investment banks, private equity firms, accounting firms, or Fortune 500 organizations to contribute their domain expertise to the development and training of next-generation Generative AI (GenAI) models.

In this role, you will collaborate with AI research and engineering teams to improve the financial reasoning, analytical capabilities, and technical accuracy of advanced AI models. You will leverage your professional experience in investment banking, private equity, equity research, corporate finance, financial modeling, valuation, or accounting to develop high-quality training data, evaluate AI-generated financial outputs, and create complex finance-related problem-solving tasks.

The ideal candidate will have a strong track record at a top-tier financial institution, advanced financial modeling capabilities, excellent analytical skills, and the ability to translate complex financial concepts into structured and accurate solutions.

Qualifications

• 4+ years of dedicated professional experience in finance at a recognized, top-tier financial institution or organization.
• Previous experience working with leading firms such as:
  • Goldman Sachs
  • Morgan Stanley
  • J.P. Morgan
  • Blackstone
  • KKR
  • Big Four Accounting Firms (Deloitte, PwC, EY, KPMG).
  • Corporate Finance divisions of Fortune 500 companies.
• Strong domain expertise in one or more of the following areas:
  • Investment Banking.
  • Private Equity.
  • Equity Research.
  • Corporate Finance.
  • Financial Planning & Analysis (FP&A).
  • Accounting and Financial Reporting.
  • Financial Modeling and Valuation.
• Advanced financial modeling and valuation skills, including:
  • Discounted Cash Flow (DCF) Analysis.
  • Leveraged Buyout (LBO) Modeling.
  • Comparable Company Analysis.
  • Precedent Transaction Analysis.
  • Financial Statement Analysis.
• Advanced proficiency in Microsoft Excel and financial analysis tools.
• Professional qualifications such as CFA, CPA, or an MBA from a reputed business school are strongly preferred.
• Demonstrated career progression within a recognized financial institution (e.g., Analyst to Associate to Vice President).
• Ability to commit reliably for a minimum of 20 hours per week during weekdays.
• Excellent written communication skills and the ability to explain complex financial concepts, technical decisions, and analytical methodologies clearly.

Requirements

• Employment Type: W-2 employment.
• Location: Fully Remote (United States).
• Work Schedule: Flexible, subject to project requirements and weekday availability.
• Minimum Commitment: 20 hours per week.
• Project Assignment: Opportunity to work directly with a leading AI research laboratory as part of its extended workforce.
• Employer of Record: Employment, payroll, benefits, and compliance will be managed through the staffing and workforce partner facilitating the engagement.

Equal Employment Opportunity

We are an Equal Employment Opportunity employer and consider all qualified applicants without discrimination based on race, religion, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, protected veteran status, disability, genetic information, political views or activity, or any other characteristic protected by applicable law.

Reasonable accommodations are available to qualified applicants upon request.

Contract & Payment Terms

• Employment will be structured as a W-2 engagement through the designated employer of record.
• The role is fully remote, with flexibility subject to project schedules and deliverables.
• Project duration and assignments may be extended, shortened, or concluded early depending on business requirements and individual performance.
• The engagement will not require access to confidential or proprietary information belonging to any current or former employer, client, or financial institution.
• H-1B and STEM OPT candidates cannot be accommodated for this opportunity.