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About the Role

Senior Associates work closely with senior consultants on project teams, conducting research, identifying and conceptualizing issues, designing economic models, managing research processes, and supervising junior analysts. They assist in developing client deliverables, act as a client contact, program and build models, ensure analysis integrity, and participate in practice-building activities.

Responsibilities

Conduct research in a team-oriented environment alongside respected academics, industry experts and regulators.
Identify and conceptualize issues, design complex economic models to analyze data, and manage the research process.
Supervise, train and mentor junior analysts.
Assist in the development and presentation of client deliverables, including expert reports and white papers summarizing opinions, conclusions, and recommendations using market, industry or client-proprietary data.
Act as a primary point of contact for attorneys and other industry or government clients on a variety of practice-relevant issues.
Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica).
Ensure the integrity and accuracy of analyses and opinions.
Participate in practice-building activities (training, recruiting, publication, expertise sharing, etc.).

Requirements

PhD degree in economics with a completion date of December 2026/Summer 2027 and an academic focus on quantitative research, with specializations like industrial organization, applied microeconomics, econometrics, labor, health, intellectual property, corporate finance, financial accounting, or other quantitative areas.
Curious and analytical thinkers who bring creative approaches to non-standard problems.
Effective written and oral communication skills.
Eagerness to learn new skills and programming languages.
Demonstrated high level of initiative and leadership.
Strong teamwork and collaboration capabilities.
Excellent time management and task prioritization skills.
Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events.
Demonstrated understanding of, and ability to explain, economic, financial and/or accounting concepts, and quantitative and qualitative analysis methods.
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS).
Minimal travel is required.

Skills

Economic concepts
Research skills
Quantitative skills
Economic modeling
Statistical analysis programs (Stata, SAS, Python, R, Matlab, Mathematica)
Excel
SQL
ArcGIS/ArcPy
Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS)

Location

Toronto, Ontario

Work Type

Hybrid

Experience Level

Senior Associate

Education Level

Salary/Compensations

CAD$140,000-$200,000

Benefits

Superior benefits package
Wellness programming
In-house immigration support for foreign nationals and international business travelers
Medical insurance
Dental insurance
Vision insurance
Retirement plan with employer match
Life insurance
Disability insurance
Paid time off (vacation, sick leave, holidays)
Paid parental leave
Employee assistance resources
Commuter benefits

About the Company

Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world.
CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues.
Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provide clients with clear, implementable solutions to complex business concerns.

Equal Opportunity

Charles River Associates is an equal opportunity employer (Human Rights Act/Employment Equity Act).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.