Selma MALMBERG

Selma Malmberg

since 2020	PhD student Le Mans Université • Topic: Great recessions, economic inequalities and the effectiveness of macroeconomic policies (under the supervision of François Langot and Pablo Winant). • CIFRE with the CEPREMAP.	Le Mans
2019-2020	Analysis and Policy in Economics (Master) Paris School of Economics • Courses: International macroeconomics, Advanced econometrics, Machine Learning, Economic history. • Research project: Impact of a global stablecoin on the international monetary system (under the supervision of Agnès Bénassy-Quéré).	Paris
2016-2020	Economics and finance engineering degree (Master) Ecole Nationale des Ponts et Chaussées • Courses: Econometrics, Statistics, Macroeconomics, Machine Learning, Operational research, Corporate finance strategy. • Research project: Prediction of the Brexit referendum result with Twitter data.	Paris
2014-2016	Classes préparatoires aux grandes écoles - MPSI/MP* Lycée Janson-de-Sailly • Mathematics and physics courses.	Paris

since Nov 2020	CEPREMAP - Research assistant • Working with the Dynare team on heterogeneous-agent models.	Paris
since Aug 2021	Sciences Po - Adjunct instructor • Mathematics applied to quantitative social sciences course. • Statistics for social sciences course.	Reims
Jul-Oct 2022 (3 months)	European Central Bank - PhD trainee • Developed a heterogeneous-agent model to study shocks affecting the supply-side of the economy.	Frankfurt-am-Main
Jun-Nov 2020 (5 months)	QuantCube Technology - Data analyst intern • Credit analysis in the euro area.	Paris
2018-2019 (11 months)	Société Générale CIB - Economics research trainee • Developed and improved econometric models for forecasting and analysis. • Forecasting and report writing for euro area indicators (e.g. GDP, industrial production, inflation). • Research topics: output gap estimation, supercore inflation, Phillips curve.	London
Jan-May 2018 (5 months)	Lazard - Academic project • Theme: Local or foreign currency sovereign debt issuance. • Econometric analysis.	Paris