Future Standard
Associate, Digital Infrastructure
Stamford, Connecticut, United States
Sponsorship not specifiedDetected 5 days ago
Financial ModelingAccountingValuationCommunication
About the role
- Future Standard is currently seeking talent with strong quantitative, qualitative, and interpersonal skills for an Associate position on the Future Standard Digital Infrastructure ("FSDI") team (formerly Post Road Group).
- Total AUM estimated as of March 31, 2026.
- Future Standard is an Equal Opportunity Employer.
Responsibilities
- Conduct due diligence on existing and prospective investments, and play a lead role in the quantitative and qualitative analysis
- Build, maintain, and stress-test detailed financial models and valuation analyses to support investment decisions
Requirements
- The ideal candidate is "plug and play" and able to contribute meaningfully from day one
- Ability to underwrite and conduct due diligence on direct investment opportunities, including formulating due diligence plans and quantitative data requests
- 1-3+ years of relevant investment experience, with a strong preference for direct investing experience - both credit and equity are ideal, though not required. The ideal candidate is "plug and play" and able to contribute meaningfully from day one
- Significant financial modeling experience and strong valuation skills, as well as exceptional interpersonal, oral, and written communication skills
- Able to be in person in Stamford, CT office 5 days per week
- A proactive, entrepreneurial, self-starter mentality, comfortable owning significant responsibility on a small, collaborative team
- Strong academic credentials, including a BA/BS in Business, Finance, Economics, or Accounting
Nice to have
- Digital infrastructure experience strongly preferred - data centers, fiber, towers, telecom services, or related sectors
Benefits
- Review and evaluate investment opportunities (both equity and credit) across the digital infrastructure industry
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This listing is sourced directly from Future Standard's careers page and normalized into a canonical job model.