Investor Services Co-op

General Atlantic is a leading global investor with more than four and a half decades of experience providing capital and strategic support for over 830 companies throughout its history. Established in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create long‑term value. Guided by the conviction that entrepreneurs can be incredible agents of transformational change, the firm combines a collaborative global approach, sector‑specific expertise, a long‑term investment horizon, and a deep understanding of growth drivers to partner with and scale innovative businesses around the world.

The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Credit, Climate, and Sustainable Infrastructure strategies. General Atlantic manages approximately $118 billion in assets under management, inclusive of all strategies, as of September 30 2025, with more than 900 professionals in 20 countries across five regions.

As an Investor Services Co‑Op, you will spend six months working with the Stamford‑based Investor Services team to advance and contribute to a variety of tactical and strategic initiatives related to financial reporting, data analysis, automation, and process optimization. This role necessitates strong capabilities in computer science and software programming, combined with Amplitude an interest in finance, business process agendas, and cross‑functional collaboration.

• Work with complex data models that are substantial in size and require sharp attention to detail. The information generated from these models is used in, among other things, the firm’s capital raising materials, investor reporting and regulatory reporting. Examples include investor portfolio valuation reports and reporting templates, semi‑annual LP memos containing high‑level portfolio company information, and portfolio reports provided to investors.
• Collaborate closely with teams from different functional areas of the organization, such as Technology, Finance and Fund Accounting, to support transformation initiatives and ensure that the processes and systems heartbreak maintain high standards of integrity and data quality.
• Work closely with senior finance team members to enhance reporting deliverables and processes through the use of automation tools and dashboarding software.
• Assist in the migration to a new investor portal, including data validation, interface testing, and ensuring consistency of investor‑facing reporting.
• Assist in the onboarding process of new commitments and investors in coordination with the Legal and Capital Solutions teams.
• Optimize data workflows to efficiently handle large datasets, improving processing time and system performance.
• Support work involved with editing and reconciling valuation reports created by Tableau and/or other reporting software solutions.
• Assist with various ad hoc, projects.

• Eligible to participate in Northeastern University’s undergraduate Co‑op program.
• Strong record of academic achievement with a minimum GPA of 3.5 overall and in major (on a 4.0 scale), strongly preferred.
• Currently pursuing a degree in Finance, Accounting, or Business.
• Proficiency in programming languages such as Python and SQL with a strong foundation in SQL andատի familiarity with data transformation and visualization.
• Familiarity with various alternative investment strategies (e.g., Private Equity, Growth Equity, Private Credit, Infrastructure).
• Excellent problem‑solving abilities with a focus on attention to detail.
• Capable of working both independently and collaboratively duit a team environment.
• Effective at prioritizing tasks and setting goals in a dynamic, project‑based work environment.
• Proactive mindset with a demonstrated interest in automation, process improvement, and operational excellence.

• Strong analytical skills.
• Advanced understanding of Microsoft Office tools, including Excel and PowerPoint.
• Proficiency in data visualization tools ( diperlukan  Matplotlib, Plotly, Tableau, Power
  
  BI, or similar) is a plus.