Lead Economist (Economic Modeling) at Stears

The Role

We are looking for a seasoned expert in applied econometrics to lead our analytical solutions on the Stears Insights platform. As the Lead economist (economic modeling), you will guide our team in the conceptualisation and deployment of high-quality analytics solutions that encompass a range of economic and sector-specific models. The ideal candidate will not only be deeply rooted in applied econometrics theory and statistical modeling, but will also ensure the highest standards in our model-building processes.

Key responsibilities:

• Model development and execution: Spearhead the development of econometric models (e.g. VAR, CGE, OLS, DSGE) to forecast macroeconomic and sector-specific indicators (e.g. inflation, FX, GDP)
• Team leadership: Supervise and mentor a team of 2 econometricians/data scientists, ensuring deliverables meet Stears’ rigorous standards
• Collaboration: Work closely with the domain-specific analysts to ensure contextual relevance and accuracy of models
• Quality assurance: Oversee the model validation process, ensuring they align with best practices and industry gold standards
• Stakeholder engagement: Interact with Stears Insights customers to understand their requirements and ensure our analytics solutions meet their needs
• Continuous learning: Stay updated on the latest econometric tools, technqiues, and trends, and ensure they are incorporated into Stears Insights’ methodologies

Required qualifications and experience:

• Master’s degree or Ph.D. in Applied Econometrics, Economics, Statistics, or a related field
• Minimum of 5 years of professional work experience, with a focus on applied econometrics
• Proven experience in leading teams and mentoring junior staff
• Proficient in econometrics tools and software such as R, Python, Stata, or EViews
• Strong analytical and critical-thinking skills
• Exceptional communication skills, both written and verbal

Preferred qualifications:

• Previous experience in a data-driven analytics platform or consultancy
• Experience in working in a collaborative, cross-functional environment