Regulatory Economics Economist: Market Analytics & Policy

Financial Industry Regulatory Authority, Inc.; Washington (District of Columbia); Hybrid; USD 131,000 - 238,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with match

Paid time off + holidays

Hybrid work environment

Job summary

FINRA seeks an Economist in Regulatory Economics to apply econometric and financial analysis to market practices and regulatory alternatives. The role covers REMA research duties, data analysis, and presenting findings to internal and external stakeholders.

Collaboration across teams and ongoing professional development are emphasized. The position requires a Master’s (PhD preferred) in economics/finance/statistics, plus experience with econometric modeling and data manipulation using R, Python,

Qualifications

• Master’s degree in Economics, Finance, Statistics, or related field; 3+ years preferred.
• Experience producing economic analyses, study design, econometric modeling.
• Proficiency with R, Python, and/or Stata; strong written and verbal skills.

Responsibilities

• Engage in statistical, econometric, and financial analysis projects.
• Assess risks, costs, and impacts of market practices and regulatory options.
• Develop research designs and analyze large data projects.
• Produce high-quality research outputs and present findings to stakeholders.

Skills

Economics

Econometric modeling

Statistical analysis

R

Python

Stata

Education

Master’s degree in Economics/Finance/Statistics

PhD in Economics/Finance (preferred)

Tools

R

Python

Stata

Job description

FINRA seeks an Economist in Regulatory Economics to apply econometric and financial analysis to market practices and regulatory alternatives. The role covers REMA research duties, data analysis, and presenting findings to internal and external stakeholders.

Collaboration across teams and ongoing professional development are emphasized. The position requires a Master’s (PhD preferred) in economics/finance/statistics, plus experience with econometric modeling and data manipulation using R, Python,