Postdoctoral Research Fellow involved in legal research for sustainable textile value chains. Collaborating with researchers on a funded project for law and circular economy.
Responsibilities
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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