What are the responsibilities and job description for the MBA Consultant position at Keystone?
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, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
About The Role
As an MBA Consultant, you are a versatile strategist who will own analytical workstreams, adapt quickly across problem types, and synthesize insights for high-stakes decision-making. 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 levelling is determined by education, prior experience, and interview performance.
Key Responsibilities
Data Analysis
For this particular role, an MBA is required, along with:
Education & Experience
Annual Salary Range
$140,000—$176,000 USD
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.
About The Role
As an MBA Consultant, you are a versatile strategist who will own analytical workstreams, adapt quickly across problem types, and synthesize insights for high-stakes decision-making. 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 levelling is determined by education, prior experience, and interview performance.
Key Responsibilities
Data Analysis
- Own and structure end-to-end analytical workstreams, translating ambiguous business or economic questions into rigorous, testable analytical approaches.
- Design and implement advanced quantitative and econometric analyses (e.g., regression, causal inference, forecasting, or simulation models) using Python, R, or Stata.
- Independently assess data quality, define methodologies, and select appropriate modeling approaches, making trade-offs under uncertainty.
- Interpret results in a business/economic context, drawing out implications, risks, and limitations—not just reporting outputs.
- Guide and review Associate-level work, ensuring analytical rigor, efficiency, and quality of execution.
- Lead targeted research efforts to inform problem framing, hypothesis development, and analytical design, not just support it.
- Synthesize economic theory, industry dynamics, and technical constraints into structured hypotheses and analytical plans.
- Critically evaluate sources (academic, regulatory, market data) and determine what materially impacts the case or client decision.
- Connect qualitative insights with quantitative findings to refine direction and challenge initial assumptions.
- Drive development of clear, structured narratives that link analysis to actionable insights and recommendations.
- Translate complex analytical outputs into persuasive, client-ready materials, tailoring messaging to technical and non-technical stakeholders.
- Own significant sections of client deliverables (reports, memos, presentations), ensuring clarity, logical flow, and defensibility.
- Communicate findings and implications in internal and client discussions, contributing to decision-making and shaping team direction.
- Develop high-impact exhibits that convey both analytical rigor and strategic insight.
For this particular role, an MBA is required, along with:
Education & Experience
- Bachelor’s degree in Economics, Econometrics, Finance, Mathematics or a closely related field from a top university (target GPA 3.7 ).
- MBA required; Master’s degree in Analytics, Data Science, Economics, or a related field a plus.
- 5 years of relevant experience in consulting, product management, data science, or strategy-oriented roles.
- Demonstrated experience owning discrete projects or workstreams, not just contributing to them.
- Exposure to strategy consulting, economic consulting, investment banking, private equity, or data/technology-driven environments.
- Evidence of academic or leadership excellence (e.g., honors, Dean’s List, leadership roles).
- Strong quantitative and problem-solving skills, with ability to independently structure analytical approaches.
- Proficiency in Python, R, or Stata, with experience working with large, complex datasets.
- Ability to translate ambiguous questions into structured analyses and actionable insights.
- Solid business and economic intuition
- Clear, structured communicator with ability to connect analysis to business/economic implications.
- Comfort operating in ambiguity and driving workstreams forward with limited guidance.
- Experience mentoring or guiding junior team members and reviewing work for quality.
- Strong ownership mindset with bias toward action and accountability for outcomes.
- Coachable, growth-oriented, and motivated to develop toward Engagement Manager trajectory.
- Clear interest in litigation consulting and Keystone’s problem space.
Annual Salary Range
$140,000—$176,000 USD
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.
Salary : $140,000 - $176,000