Research Assistant in Electrolysis at Fraunhofer Institute specializing in hydrogen technology development. Engaging in cutting - edge research and innovative projects in electrochemical processes.
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
Principal Scientist responsible for drug discovery activities within Small Molecule Research at Novo Nordisk. Leading assay development, managing CROs, and collaborating across teams globally.
Lead Applied Research Scientist at ILLUIN Technology transforming state - of - the - art AI into functional solutions. Combining academic excellence and startup agility in a hybrid role.
Wissenschaftlicher Mitarbeiter responsible for microbiology projects at MVZ diagnosticum GmbH. Leading teams and organizing workflows within medical laboratory environment in Neukirchen.
Associate Principal Scientist implementing Chemistry, Manufacturing, and Controls regulatory strategies for biologics products. Preparing CMC sections for submissions and mentoring scientific staff.
Principal Scientist/Director responsible for regulatory strategies for biologics products. Overseeing CMC regulatory submissions and leading cross - functional teams in compliance and submission accuracy.
Research Scientist specializing in quantum error correction at Quantinuum, developing software tools and conducting computational research with a strong emphasis on collaboration.
Research Assistant performing clinically relevant procedures for study subjects in Chula Vista, CA. Engaging in data recording, patient management, and compliance with clinical protocols.
ML Research Scientist leading transformative research in foundation models for AI in drug discovery. Collaborate with multidisciplinary teams to shape groundbreaking models and insights.
Binding free energy specialist developing and optimizing methods to enhance drug discovery. Collaborating with teams to drive project decisions and improve existing workflows.