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Formulary Financial

AI-driven fund administration for accounting, reporting

Software Engineer Intern

AI Application EngineeringPosted on Nov 8
Internship · Summer 2027New York, NY, USA$25 /hr

About the Job

Requirements

  • Currently pursuing a bachelor's degree in data science, statistics, computer science, mathematics, economics, or another quantitative field, with graduation in 2028 or 2029.
  • Strong Python and SQL skills, with practical experience working with messy data through research, coursework, employment, or personal projects.
  • Experience taking an analysis from raw data to an answer that someone acted on.
  • A genuine interest in becoming a software engineer.
  • Availability to work full-time for all 8 weeks, four days per week on-site in New York City.
  • Already authorized to work in the United States.

Responsibilities

  • Work with the team and clients to turn real problems into working products and iterate based on client feedback.
  • Build MCP servers and LLM-powered workflows that enable AI tools to reason over real fund data, and measure where they succeed and fail.
  • Build dashboards and analytics that help fund managers and investors understand performance, exposure, and risk.
  • Help turn fund statements, capital account reports, and general ledgers from PDFs, spreadsheets, and emails into structured data, with each number traced to its source.
  • Own a project from its first prototype through delivery and present it to the company at the end of the summer.

Desired Qualifications

  • Experience with TypeScript, React, or building a web application.
  • Research experience, participation in a data competition, or a shipped side project.
  • Interest in finance, investing, or how markets work.
  • Daily use of AI tools such as Claude, ChatGPT, Cursor, or similar.

About the Company

Formulary Financial

AI-driven fund administration for accounting, reporting

Formulary Financial provides an AI-native fund administration platform that handles back-office needs for private capital, including accounting, reporting, compliance, audit support, capital activity, and investor communications. It replaces manual data entry with an AI-powered data systemization model that integrates internal and external data to create a single source of truth and real-time updates. How it works: the platform automates workflows and maintains an auditable data foundation, enabling asset managers to access reliable data, generate tailored reporting, and support audits. It differentiates itself by focusing on an end-to-end, tech-driven approach for private equity, growth equity, and venture capital firms and by shifting accountants toward advisory and exception handling rather than manual data entry. The company aims to increase transparency and accuracy in fund operations, reduce reporting delays, and improve efficiency for both general and limited partners.

Company size
11-50
Company stage
Seed
Total funding
$4.6M
Headquarters
New York City, United States
Founded
2025

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