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About the Role

NERA Economic Consulting is seeking candidates for Consultant positions to conduct economic, statistical, and financial modeling for complex challenges in Securities and Finance and Mass Torts. This role involves evaluating issues related to class certification, price impact, loss causation, materiality, and damages in securities class action cases, as well as analyzing economic trends and forecasting risks for product liability and mass tort claims.

Responsibilities

Conduct economic, statistical, and financial modeling.
Evaluate issues related to class certification, price impact, loss causation, materiality, and damages in securities class action cases.
Carry out quantitative and qualitative analyses of economic trends concerning alleged violations of securities laws, ERISA regulations, and contract breaches.
Examine historical data and perform forecasting to assess potential risks associated with product liability and mass tort claims.
Apply advanced statistical techniques to analyze participation patterns in mass tort cases.
Value start-up companies, established businesses, and sophisticated financial instruments.
Develop econometric models using cutting-edge statistical methods, extensive datasets, and programming tools.
Stay informed on business and financial sector developments by reviewing financial publications, investment banking research, public databases, trade journals, and proprietary sources.
Keep current with the latest academic research in finance, economics, and statistics.
Prepare reports covering broad economic trends, finance and statistical issues, and specific client business challenges.
Engage in meetings with clients, external experts, auditors, boards of directors, insurers, and other stakeholders.
Contribute to business development activities alongside senior team members.
Plan, direct, and supervise the work performed by junior staff on a project-by-project basis.

Requirements

Master's degree or foreign equivalent in Economics, Public Policy, or a related field plus three (3) years of experience in the position offered or a related position.
Bachelor's degree in Economics, Public Policy, or a related field plus five (5) years of experience in the position offered or a related position.
Three (3) years (or five (5) years with a Bachelor's) of experience utilizing R and Python programming languages to clean datasets as well as develop and validate econometric models including linear regression and time series analyses.
Three (3) years (or five (5) years with a Bachelor's) of experience constructing and interpreting confidence intervals for model output.
Three (3) years (or five (5) years with a Bachelor's) of experience performing statistical forecasts by analyzing seasonality, long term trends, and correlations.
Three (3) years (or five (5) years with a Bachelor's) of experience designing, developing, and debugging complex Excel VBA macros to automate repetitive data processing tasks enhancing operational efficiency.
Three (3) years (or five (5) years with a Bachelor's) of experience applying INDEX-MATCH, INDIRECT, OFFSET, and SUMIFS functions to execute intricate data manipulation and cleaning.
Three (3) years (or five (5) years with a Bachelor's) of experience leveraging Excel's advanced charting and tabulation capabilities to visualize data and generate insights.
Three (3) years (or five (5) years with a Bachelor's) of experience conducting in-depth fundamental research on publicly listed entities by systematically analyzing SEC filings including 10-K and 10-Qs, equity research reports, and market news, and supplementing with third-party datasets to generate comprehensive company profiles.
Three (3) years (or five (5) years with a Bachelor's) of experience using Factiva, FactSet, Bloomberg LP, and S&P Capital IQ to collect financial filings and news articles.
Three (3) years (or five (5) years with a Bachelor's) of experience performing rigorous valuation analyses of both public and private firms by constructing discounted cash flow (DCF) models, calculating trading multiples, and estimating discount rates through application of Weighted Average Cost of Capital (WACC) and Capital Asset Pricing Model (CAPM) frameworks.
Three (3) years (or five (5) years with a Bachelor's) of experience drafting parts of expert reports, memos, and deposition questions, preparing trial exhibits and preparing cross examination questions for trials.

Skills

R
Python
Econometric models
Linear regression
Time series analyses
Statistical forecasts
Excel VBA macros
INDEX-MATCH
INDIRECT
OFFSET
SUMIFS
Excel advanced charting
Excel tabulation
Fundamental research
SEC filings (10-K, 10-Qs)
Equity research reports
Factiva
FactSet
Bloomberg LP
S&P Capital IQ
Discounted cash flow (DCF) models
Trading multiples
Weighted Average Cost of Capital (WACC)
Capital Asset Pricing Model (CAPM)

Location

New York, NY

Work Type

Full-time
Hybrid

Experience Level

3 years
5 years

Education Level

Master's degree
Bachelor's degree

Salary/Compensations

$150,000 - $235,000 per year

Benefits

Performance-based incentives
Health and welfare benefits
Tuition assistance
401K savings
Retirement programs
Employee assistance programs

About the Company

National Economic Research Associates, Inc. is part of Marsh (NYSE: MRSH) Management Consulting.
Marsh is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries.
NERA Economic Consulting is a global firm of experts dedicated to applying economic, finance, and quantitative principles to complex business and legal challenges.
NERA's economists create strategies, studies, reports, expert testimony, and policy recommendations for government authorities and the world's leading law firms and corporations.
NERA brings academic rigor, objectivity, and real world industry experience to bear on issues arising from competition, regulation, public policy, strategy, finance, and litigation.

Equal Opportunity

Marsh is committed to embracing a diverse, inclusive and flexible work environment.
We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law.
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week.
Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.