Finance Expert — Public Finance & Empirical Policy (Train AI Models Part Time!)

Job Summary

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Source public-sector fiscal/pension practitioners paired with empirical-finance researchers or applied economists to build fiscal forecasts, debt affordability analyses, pension analysis, municipal credit/capital plans, and reproducible causal-inference/panel/administrative-data policy-evaluation work. Writer track: 5-12 years. Reviewer track: 10-18 years.

About the role

Build fiscal forecasts, debt affordability analyses, pension analysis, municipal credit/capital plans, and reproducible causal-inference/panel/administrative-data policy-evaluation work. Work closely with public-sector fiscal/pension practitioners and empirical-finance researchers or applied economists.

Responsibilities

• Develop and maintain fiscal forecasts, debt affordability analyses, and pension analysis models.
• Conduct research on municipal credit/capital plans and policy evaluation using causal-inference/panel/administrative-data methods.
• Collaborate with public-sector fiscal/pension practitioners and empirical-finance researchers or applied economists to refine and improve models.
• Write and review policy reports and analyses, ensuring accuracy and clarity.

Requirements

• Writer track: 5-12 years of experience in fiscal/pension analysis, empirical-finance research, or related fields.
• Reviewer track: 10-18 years of experience in fiscal/pension analysis, empirical-finance research, or related fields.

Qualifications

• Advanced degree in economics, finance, public policy, or a related field.
• Strong analytical and quantitative skills.
• Experience with statistical software such as R, Python, or Stata.
• Excellent communication and writing skills.

Skills

• Expertise in fiscal forecasting and pension analysis.
• Knowledge of empirical-finance research methodologies.
• Ability to work collaboratively with cross-disciplinary teams.
• Proficiency in data analysis and modeling techniques.

Benefits

• Competitive compensation package.
• Flexible working arrangements.
• Opportunities for professional development and growth.

Pay

Compensation is commensurate with experience.

Schedule

Full-time position available.