PhD/ABD graduates) Economic Consulting Senior Associate
(2027 PhD/ABD graduates) Economic Consulting Senior Associate - Canada
Toronto, ON, Canada
About Charles River AssociatesCharles 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 .
Practices seeking to hire candidates in our Toronto office with this profile include:
- Our Competition practice economists provide analysis and testimony in matters involving mergers and acquisitions, antitrust litigation, and global competition policy.
- The Energy practice has researched, published, taught, and consulted on energy matters for a wide range of clients, including electric and gas utilities, investors, power asset owners and developers, power agencies, large industrial firms, and clean energy technology leaders.
Learn more about our work by reviewing our Services and Industries on our website .
Position OverviewSenior Associates work closely with senior consultants on project teams. Successful candidates have a strong knowledge of economic concepts and a range of research and quantitative skills. A typical Senior Associate would:
- Conduct research in a team-oriented environment alongside some of the most respected academics, industry experts and regulators in the world;
- 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.).
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Candidates are encouraged toexpress any preferences for a practice area in their application.
Candidate materials must be submitted by November 6, 2026. Interviews will begin following application close, with first round interviews occurring virtually. Candidates focusing their search on industry and consulting who need to be considered early should indicate that in the CRA online application and submit all materials as early as possible.
Desired Qualifications- 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/Arc Py, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS);
- As much of…
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