Analyst

About the Role

This position supports the Private Infrastructure investment team in building AI-enabled workflows to enhance the execution of private infrastructure investments. It involves leveraging internal fund data for sourcing, assessing, executing, and monitoring private infrastructure transactions, with a focus on North American infrastructure secondaries (continuation funds, structured solutions, and LP trades) and equity co-investments. The target role location is in the Houston office.

Key Responsibilities

• Work alongside Private Infrastructure investment professionals to integrate AI-extracted data and automated valuation tools into standard deal-evaluation templates.
• Design, build, and maintain quantitative analytics dashboards and reporting pipelines that track valuation metrics, cash flows, and performance indicators across underlying portfolios.
• Support building AI-enabled workflows for LP secondary transactions by leveraging internal fund data to enhance the underwriting process.
• Lead quantitative and qualitative due diligence on prospective private infrastructure investments.
• Own and run sophisticated infrastructure financial models.
• Analyze and prepare investment memoranda for Partners Group's Investment Committee.
• Take a lead role in monitoring infrastructure investments and managing relationships with infrastructure managers in the Americas, including regular interaction with investment partners and travel within North America.
• Perform tasks related to product reporting, monitoring investments, market research, internal requests, and marketing efforts.

Requirements & Tech Stack

• Expert knowledge of Excel and financial modeling skills.
• Ability to conduct research and cope with incomplete information.
• Strong project management skills.
• Ability to lead transactions.
• Strong written and oral communication skills.
• Superior organizational competence (planning, coordinating, and time management).
• Excellent teamwork skills.
• Comfort with constant non-personal communications.
• Ability to be self-driven and self-motivated.

Qualifications

• Between zero to two years of relevant work experience, preferably including background in data analytics, investment banking, or consulting.
• Excellent analytical, financial, interpersonal, and client-facing skills, combined with the desire to learn and succeed.
• Bachelor’s or Master’s degree in a quantitative field such as Economics, Business Analytics, Computer Science, Finance, or Data Science.
• Works well in a very entrepreneurial organization.
• Self-starter.
• Possesses strong numerical, networking, and organization skills.