Senior Climate Risk & ESG Modeler

Nordea Bank Abp, Filial i Sverige; Uppsala kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Nordea Bank Abp is seeking a (Senior) Risk Expert to develop methods integrating climate and environmental risks into internal credit risk models. You will build Python-based tools, perform scenario analyses, and align with ECB/EBA/NGFS expectations in a role with a hybrid working model.

The ideal candidate has 2–10 years in quantitative modelling, strong econometrics skills, and a Master’s/PhD in a quantitative field, with ESG/climate risk interest.

Qualifications

• 2–10 years of experience in quantitative modelling.
• Strong background in statistics and econometrics.
• Python programming; building modelling tools or libraries.
• Understanding of PD, LGD and IRB concepts.
• Master’s or PhD in a quantitative field.
• Interest in ESG / climate risk modelling, scenario analysis or stress testing.

Responsibilities

• Develop quantitative models integrating climate and ESG risks into IRB and other credit risk models (PD, LGD).
• Perform statistical and econometric analyses, including scenario-based approaches.
• Conduct quantitative data analysis and assess financial impact of model/data changes.
• Develop and maintain Python-based modelling tools and validation workflows.
• Define ESG data requirements and integrate external datasets into modelling frameworks.
• Stay informed on ESG risk modelling developments and regulatory expectations (ECB, EBA, NGFS).
• Contribute to model documentation and validation deliverables for internal/supervisory review.

Skills

Quantitative modelling

Statistics & econometrics

Credit risk modelling (PD, LGD)

IRB modelling experience

ESG / climate risk modelling

Data analysis

Python programming

Education

Master’s or PhD in quantitative field

Tools

Python

Job description

Nordea Bank Abp is seeking a (Senior) Risk Expert to develop methods integrating climate and environmental risks into internal credit risk models. You will build Python-based tools, perform scenario analyses, and align with ECB/EBA/NGFS expectations in a role with a hybrid working model.

The ideal candidate has 2–10 years in quantitative modelling, strong econometrics skills, and a Master’s/PhD in a quantitative field, with ESG/climate risk interest.