NERA Researcher – Antitrust and Competition (NYC or Washington, DC)

Marsh McLennan•New York, NY

5d•Hybrid

About The Position

NERA Economic Consulting is seeking full-time Researchers for its Antitrust and Competition business line in its New York City or Washington, DC office. NERA provides unparalleled guidance on market, legal, and regulatory questions, leveraging field-leading experts and deep experience to offer rigorous analysis, reliable expert testimony, and data-powered policy recommendations. The ideal candidate will possess an understanding of economic analysis and research, proficiency in data-analysis programming languages (SAS/STATA, R, Python), and excellent communication skills. This role involves applying economic theory and quantitative methods to complex business and legal challenges, particularly in matters involving mergers and acquisitions, Antitrust litigation, and competition policy. The work environment is team-based, multi-task oriented, requires precision, and often operates under tight deadlines, with little to no travel involved. NERA is part of Marsh, a global leader in risk, reinsurance and capital, people and investments, and management consulting.

Requirements

Minimum of a BA or BS in economics, statistics, mathematics, or related field
Exceptional analytic skills
Strong academic records
Detail-oriented
Excellent oral communication skills
Ability to write in a clear and persuasive manner

Nice To Haves

Coursework and/or experience in economics, statistics, regression analysis/econometrics
Coursework and/or experience in computer programming
Proficiency in data-analysis programming languages, such as SAS/STATA, R, Python

Responsibilities

Collecting industry, company, and competitor information
Reviewing, summarizing, and analyzing industry trends
Creating trial exhibits
Drafting memos and presentation materials
Helping to prepare expert reports
Participating in client and team meetings and conference calls
Using data-analysis programming languages to analyze large data sets of prices, sales, and other relevant economic data
Using statistical and econometric methods to model economic and financial data to produce analyses supporting the research conducted during Antitrust cases (including mergers and anticompetitive conduct cases)
Leading and organizing project teams undertaking economic analysis
Developing research and data analysis plans in support of Antitrust cases