Markets Economist: Data-Driven Policy & Regulation

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

Benefits offered by this job

Discretionary bonus

Health, dental and vision insurance

401(k) match with vesting

Job summary

FINRA seeks a quantitative economist to analyze market practices, trading activity, and regulatory programs. You will apply econometric methods to assess price discovery, liquidity, and market quality, exploring tokenized securities and AI-enabled trading implications.

The role requires a Master’s degree with 3+ years of experience (PhD preferred) and proficiency in R, Python, or Stata. Hybrid work, strong communication skills, and collaboration with cross‑functional teams are essential.

Qualifications

• Master’s degree in Economics, Finance, Statistics, or related field; 3+ years of relevant experience.
• PhD in Economics, Finance, Statistics, or related field preferred.
• Experience producing economic analyses including econometric modeling and data manipulation.
• Proficiency with R, Python, and/or Stata; ability to present findings clearly.

Responsibilities

• Analyze market practices, trading activity, and regulatory programs using quantitative and qualitative methods.
• Develop empirical research on securities markets and trading behavior to support rulemaking and policy.
• Evaluate market structure developments and emerging technologies affecting price discovery and liquidity.
• Prepare reports and briefings for senior leadership and external stakeholders.

Skills

Statistical analysis

Econometrics

Machine learning

Python

Education

Master's degree in Economics/Finance/Statistics

PhD preferred

Tools

R

Python

Stata

SQL

Job description

FINRA seeks a quantitative economist to analyze market practices, trading activity, and regulatory programs. You will apply econometric methods to assess price discovery, liquidity, and market quality, exploring tokenized securities and AI-enabled trading implications.

The role requires a Master’s degree with 3+ years of experience (PhD preferred) and proficiency in R, Python, or Stata. Hybrid work, strong communication skills, and collaboration with cross‑functional teams are essential.