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Werkgever: itprojects Banen
Start date ASAP
Duration till 31th of May 2023 (Extension possible)
Hybrid working, workers abroad allowed (onsite, nearshore and offshore)
Working proficiency of English is required.
Imagine that you can be one of the pioneers that will unravel the complexity of climate-related and environmental risks (C&E risks). As a C&E risk modeller, you can make a difference by exploring the hotspots in our portfolios, provide input for climate-related stress testing, work on scenario analyses, and develop methodologies and models to score and rank clients. All this work will contribute to strengthen our risk management on this novel risk driver.
Making a difference
Contribute to stress testing on the topic of climate and environmental risk.
Team up with various stakeholders to perform climate related scenario analyses.
Keep a close eye on external developments around C&E risk and incorporate this into our work.
Pioneering is key in this field, as much is still unknown and in rapid development.
Be the key to successfully manage these risks. Risk management can only make proper decisions if the risks and its impacts are well understood.
With each other
Within the risk domain, climate-related and environmental risk is a relatively new phenomena but growing in importance rapidly. The challenge is to have good and, in the near future, data-driven insights into the C&E risks of our portfolios. As the field is still in development, banks, regulators, academics and others are continuously coming up with new ways to measure C&E risk. We will need to decide if, how, and when to incorporate the latest developments in our methodologies, while also keeping a pragmatic eye on what is possible.
We have an open position for the period December 2022 till April 2023 within the quantification squad of the climate risk team. The role is to support the team in performing the various analyses and/or creating ESG Risk scoring methodologies. Good to emphasize that you will be working in our team, as you will be replacing a colleague which is on sabbatical leave, hence it wont be a separate assignment for the consultancy.
The climate risk team is a cross-functional team of Tribe Credit Analytics and Enterprise Risk Management. Tribe Credit Analytics is responsible for the bank’s credit risk models as well as various use test models (IFRS9, credit stress testing, Early Warning models, etc.). But it doesnt stop there, we work closely with experts from sector management, sustainability, international offices, SuDA (sustainable data & analytics) team, credit modelling teams as well as Creditcore Tribe and the business.
The climate risk team focuses on the identification and assessment of C&E risks and gives support in the embedment of these risk drivers in the bank’s risk framework. The team is split into two squads: climate risk identification & climate risk quantification. Activities of the team include:
Contribute to the creation of heatmaps to determine a risk indicator per geographical location, sector and time horizon combination for a multitude of C&E risk events.
Team up with credit modelling teams to perform climate related scenario analyses.
Determine the data requirements and, when/if data becomes available, create methodologies and models to score and rank clients on their C&E risks.
Provide input on C&E related stress testing.
A fair amount of stakeholder management as C&E risks is a hot topic in the bank.
Consider applying if you also recognize yourself in the following:
Master degree in a quantitative field (econometrics, mathematics, physics, AI or similar) or C&E related field (climate studies, sustainable/climate economics, meteorology or similar).
Knowledge of and/or curiosity towards climate-related and environmental risk, including relevant regulations and guidelines.
You have knowledge of Python, SQL or comparable packages and programming languages.
At least three years’ working experience, preferably in a relevant field (e.g. credit risk modelling, stress testing, Credit risk framework, sustainable / climate economics).