Researcher in Risk assessment

Kyiv School of Economics (KSE) | Kyiv, Ukraine (Remote possible)

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The Kyiv School of Economics (KSE) is more than just an educational institution. We are a modern educational and research hub that brings together talented educators, experts, and thought leaders to foster a strong and innovative Ukrainian economy. We are seeking a creative and collaborative Researcher in Risk assessment to join the Laboratory for Risk assessment and financial analytics at the Computer Science Department at KSE. We aim to improve our understanding of ageing financial analytics by focusing on two complementary approaches: model building and data analysis. As a financial analyst, the researcher is expected to focus primarily on the former axis while collaborating with the entire team. Specific projects will be defined together based on the researcher's aspirations and the lab philosophy. Key missions and responsibilities include: - Use different metrics for evaluating the risks of different area; - Developing models using data science for risks’ evaluation; - Support the data analysis team in applying in-house and public models to ageing and disease data. - Support PhD and Master students in the lab. - Publish research outcomes in high-impact journals and present at leading conferences. - The position is flexible but requires a minimum of 6 months per year of in-person presence in Kyiv to engage with the lab. We will assist with accommodation search and local logistics during this period. Requirements for the position: - PhD in Computer Science, Applied Mathematics, Data Science, or a closely related field. - Strong expertise in risk metrics, methods and approach, as well as a good background in mathematical modeling. - Proficiency in programming languages (Python) and package development process - Experience in financial tasks modelling - Demonstrated ability to perform independent research and publish in peer-reviewed journals. - Fluent in English, with excellent written and verbal communication skills. Advantages for the position: - Experience in machine learning - Practical experience in finance / risk management Knowledge of copulas / agent-based modelling What we offer: - A research role in one of Ukraine’s most dynamic Computer Science departments and research hubs. - Flexibility between working on existing projects and developing independent research. - Competitive salary, paid vacation, and sick leave. - Hybrid work format and flexible schedule: choose your start time. - Health insurance and access to corporate psychological support services. - Modern office with a storage facility, just a 5-minute walk from the metro. - Mental health support: corporate psychologist, paid sick leave, and rest days. - Corporate events and community activities: networking, events, and internal initiatives. Application Procedure: To apply, please submit the following documents before November 15, 2025: Curriculum Vitae (CV) including a full list of publications. Cover Letter highlighting your motivation, research experience, and qualifications for the role. Contact information of two references. Shortlisted candidates may be invited for an interview and to give a research talk.

Last updated: 8 October 2025

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