Econometrician

Role: Time Series Econometrician Role Purpose: MTRX is looking for a time series econometrician to support the development of AI-enabled investment analytics workflows. The role is focused on ensuring that analytical outputs are econometrically sound, properly interpreted and suitable for investment research use. Key Responsibilities Define and review time series econometric methods used in MTRX workflows. Assess model suitability, assumptions, diagnostics and limitations. Review AI-generated analytical outputs for statistical accuracy and sensible interpretation. Work with AI and workflow engineers to translate econometric logic into structured, testable processes. Help identify misleading results, weak assumptions and unsupported conclusions. Required Experience: Strong experience in applied time series econometrics. Good understanding of stationarity, autocorrelation, lag structures, forecasting and model diagnostics. Experience with methods such as ARIMA, VAR, cointegration, volatility modelling and forecast evaluation. Ability to interpret econometric outputs in a financial, economic or investment context. Comfort working with AI-based tools, automated workflows or model-assisted research systems. Strong attention to detail and clear written communication. Preferred Background: Experience applying econometrics in a professional, policy, academic, financial, consulting, research or analytics environment. Experience working with economic, financial, market, macro, fund, company or panel datasets. Experience with Python, R, MATLAB, Stata, EViews, Julia or similar tools. Exposure to AI tools, automated analytics, research platforms or model validation workflows would be helpful. Ideal Candidate: A practical time series econometrician who can help ensure MTRX’s AI-enabled analytics are statistically robust, clearly interpreted and professionally credible.