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SEB is seeking a Quantitative Credit Risk Analyst to join the Credit Risk team. You will develop and review quantitative models to assess credit risk, using mathematics, statistics, and machine learning on large datasets, including historical loan performance and macro indicators.
You will collaborate with diverse stakeholders, monitor model performance, and contribute to data quality and regulatory projects within credit risk. This role offers growth and exposure across the bank.
Do you have passion for quantitative analysis, credit risk modelling and turning complex data into meaningful insights? Join SEB’s Credit Risk team as a Quantitative Credit Risk Analyst and help develop, monitor and improve models that support key business and regulatory decisions. You will work with advanced analytics in a dedicated expert team with broad exposure across the bank, while growing in a supportive culture that values learning, innovation and career development.
We are looking for A Quantitative Credit Risk Analyst to join our Credit Risk team in SEB. You will be responsible for development and review of quantitative models that assess credit risk. The role will require to use mathematical, statistical, and machine learning techniques to analyse large datasets, including historical loan performance, customer data, and macroeconomic indicators, to extract trends and construct risk factors. You will be part of a dedicated, expert team with broad exposure across the bank and excellent prospects for personal and career growth.
As a Quantitative Credit Risk Analyst, you will:
Development and review of credit risk models aligned with banking regulations and business needs
Perform modelling using readymade-tools, focus on modelling rather than coding
Collaborating with business areas to provide insights into data and explain model outputs
Monitoring and back-testing credit risk models to ensure accuracy and regulatory compliance
Contributing to various projects related with data quality, regulatory etc. within credit risk
To succeed in this role, we believe that you:
Have strong background in mathematics, statistics, econometrics, finance, or related quantitative fields
Are experienced with programming languages such as Python, SAS
Have a genuine curiosity for data and ability to work with large datasets and use statistical software and data visualization tools
Have good communication skills, with the ability to convey complex technical concepts and insights to diverse stakeholder groups
Nice to have:
Experience in model development, review within credit risk contexts
Familiarity with credit risk frameworks, including PD/LGD/CCF modelling and IRB approaches
Educational background in statistics, mathematics or econometrics
Friendly and welcoming culture
Challenging and interesting projects at the forefront of credit risk modelling
A supportive environment for learning, development and career progression
Attractive compensation and benefits
Welcome to our inclusive culture, where our shared values inspire and uplift our team. We celebrate diversity and strive to ensure every employee feels seen, heard, and valued.
SEB Sweden has a redeployment responsibility, why this position might be covered by internal redeployment.
It is our fundamental belief that inclusion and diversity is crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected and involved irrespective of who they are, what they believe or where they come from.