Associates and Consultants (2026 Graduates)

Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York City, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.

About The Role

As a strategist, you are a versatile associate or consultant who will work across economics, strategy, and technology engagements. You are expected to own analytical workstreams, adapt quickly across problem types, and synthesize insights for high-stakes decision-making.

Your education and background may lean towards one of our practice areas in Finance, Economics, Tax and Securities or Antitrust & Competition. Keystone teams are interdisciplinary, and you will work across a wide range of problems and practice areas.

With a background in Finance, Economics, Tax and Securities (FETS), you focus on financial valuation, and market-based analyses, often in litigation, transaction, or strategy contexts. You are expected to bring strong financial intuition alongside rigorous quantitative execution.

With a background in Antitrust & Competition you focus on economic theory, econometrics, and competition analysis in regulatory and litigation matters. This work directly supports expert opinions and case outcomes.

During the interview process, we assess your ability to apply your core skillset to unfamiliar questions and operate effectively outside your primary area of focus.

Final leveling is determined by education, prior experience, and interview performance.

Key Responsibilit ies

Data Analysis

• Own end-to-end analytical workstreams, including data cleaning, exploratory analysis, model implementation, and validation.
• Apply quantitative methods using Python, R, or Stata to analyze large and complex datasets.
• Build and stress-test models to identify trends, quantify impacts, and evaluate strategic or regulatory questions.

Research

• Conduct structured research across economic, industry, policy, and technology domains to inform analysis and case strategy.
• Review academic literature, policy documents, technical materials, and public filings to ground analytical assumptions.
• Synthesize qualitative and quantitative inputs to inform hypotheses and analytical direction.</span