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The intern will assist colleagues in the climate risk team to fulfil the Bank’s commitments under its climate risk procedures and methodologies, as well as to meet the team’s wider objectives. This includes supporting the overhaul of the methodology, process, data collection and management of information relating to climate-related financial risk assessment.
Job Responsibility:
Assist colleagues in the climate risk team to fulfil the Bank’s commitments under its climate risk procedures and methodologies
Support the overhaul of the methodology, process, data collection and management of information relating to climate-related financial risk assessment
Support the work of the Climate Risk team in assessing, tracking and collecting data on climate-related financial risks of the EBRD’s existing portfolio, as well as new clients
Collect, manage, organize, and control the data used for the identification and assessment of financial impacts of climate-related financial risk on the Bank’s clients
Assist with a wide range of activities including client-specific research, data collection and organization, preparing presentations and ensuring items are documented, attending meetings keeping minutes, and some administrative tasks
Requirements:
Degree in data science and/or, economics, engineering, or related field or comparable professional experience. Familiarity and some experience in control or finance as well as climate-related financial risk is desirable
Proven analytical research and quantitative skills, particularly advanced Excel, are critical
Ability to gather, organize, manage, derive insights, and control data is an essential requirement
Research and analytical skills
Knowledge of climate risks
Strong, effective time management delivery and effective organisational skills and ability to multi-task without losing attention to detail
Good interpersonal skills and an ability to work independently and within a team
Excellent written and spoken English
Ability to work effectively as a team member and to deadlines and under time pressure
Meticulous attention to detail with data analysis skill including the ability to interrogate and prompt co-pilot or similar LLM process and present the results to a non-technical audience