Associates and Consultants; Antitrust & Competition
Listed on 2026-02-01
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IT/Tech
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Business
Economics
Overview
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 ecosystems.
We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
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 ecosystems.
We operate globally from offices in New York, Boston, San Francisco, Seattle, and Washington, D.C.
The Role
As an Associate or Consultant at Keystone, you work across economics, strategy, and technology engagements. You own core analytical work streams, adapt quickly across problem types, and synthesize insights that support high-stakes decisions.
With a spike 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.
Keystone teams are interdisciplinary, and you will work across a wide range of problems and practice areas. 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. Please note, this job is for candidates who have already graduated.
Key Responsibilities- Data Analysis:
Own econometric and quantitative analysis work streams, from problem formulation through execution and interpretation. - Data Analysis:
Implement reduced-form and structural econometric models (e.g., OLS, DiD, IV, panel data methods) using Stata, Python, or R. - Data Analysis:
Analyze large-scale transactional, pricing, or market-structure data to assess competitive effects and damages. - Data Analysis:
Evaluate robustness of results, test alternative specifications, and identify limitations or risks.
- Research:
Conduct in-depth economic and competition research to inform analytical design and case strategy. - Research:
Review academic economics literature, prior cases, regulatory guidance, and expert reports. - Research:
Apply economic theory to real-world market facts, translating theory into testable empirical frameworks. - Research:
Support development of theories of harm and economic narratives grounded in evidence.
- Report Writing:
Draft technically precise explanations of economic methods and results for expert reports and memoranda. - Report Writing:
Translate complex econometric findings into clear, persuasive written narratives for legal and regulatory audiences. - Report Writing:
Develop exhibits that clearly communicate economic intuition and empirical results. - Report Writing:
Ensure analytical work is well-documented, reproducible, and defensible.
- Bachelor’s degree in Economics, Econometrics, Financial Economics, or Mathematical Economics from a top university (target GPA 3.6+).
- Master’s degree in Economics from a top university a plus.
- Prior experience in economic or strategy consulting, research assistance, or policy analysis.
- Exposure to antitrust, merger analysis, competition.
- Strong grounding in microeconomic theory and econometrics.
- Experience applying empirical methods (e.g., OLS, DiD, IV, panel data) using Stata, Python, or R.
- Comfort working with large datasets and translating theory into testable empirical frameworks.
- High attention to…
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