Lead applied research initiatives in economics, finance, and data science, ensuring both theoretical soundness and practical applicability to ION’s core banking products.
Design, implement, and validate models using advanced econometrics, machine learning, causal inference, forecasting, and network analysis.
Drive innovation by adopting and testing state-of-the-art methodologies, contributing to ION’s position as a thought leader in quantitative finance.
Use ION’s internal microdata (transactional, financial, textual, and behavioral) and combine it with public and alternative data sources (news, sentiment, macroeconomic indicators).
Translate research outcomes into tangible outputs: models, analytical frameworks, algorithms, and datasets for integration into ION’s product suite.
Collaborate closely with engineering, product, and analytics teams to ensure robust deployment of models and insights.
Support model governance and regulatory compliance, producing documentation, validation frameworks, and explanatory material for supervisory authorities.
Conduct and publish research in top-tier academic journals in economics, finance, or data science.
Represent ION at international conferences and research workshops, presenting both applied and theoretical contributions.
Requirements
PhD (or Master’s with significant experience) in Economics, Finance, Data Science, Statistics, or a related quantitative field.
Strong expertise in econometrics, causal inference, and machine learning applied to economic and financial problems.
Proficiency in Python, with experience handling large datasets.
Familiarity with Databricks, PySpark, and data engineering workflows is a plus.
Deep understanding of financial systems, risk modeling, and regulatory frameworks.
Demonstrated ability to conduct both academic research and product-oriented modeling.
Strong communication skills and ability to articulate technical content to multidisciplinary audiences.
Commitment to scientific integrity, transparency, and reproducibility.
Benefits
Work at the intersection of finance, data science, and applied economics, with access to one of the richest financial datasets in Europe.
Conduct world-class research with real-world impact and visibility in both academia and industry.
Collaborate with top universities and global research networks.
Shape the next generation of financial products and analytical infrastructures.
Be part of a multidisciplinary team that values rigor, innovation, and intellectual freedom.
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