About the job

SEB is a leading northern European financial services group with a high focus on risk identification, measurement, monitoring, and governance. Banking is changing rapidly, and our highly skilled quant team is committed to innovation, quality, and development of risk culture. Does that sound like a fit for you?

About the role:

You will be a part of a diverse and professional team within SEB Group CRO organization that ensures quality of models used for measuring credit risk. We conduct in-depth reviews of the models to ensure quality performance by assessing model design and modelling methodologies, performance from the statistical point of view, data quality, implementation, regulatory compliance, and usage. We are presenting insights and proposing recommendations to the SEB Group CRO management as well as are closely working with the model developers, owners, users, and other key stakeholders.

You will be retrieving, analysing, and interpreting data from various sources, assessing model performance quantitatively and qualitatively, taking part in model framework development and automatization of the validation processes to ensure comprehensive and informative analyses. You will have empowerment to organize your work individually and introduce new and/or improve the existing validation tools. Nevertheless, you will also be able to work in small sub-teams.

The team is located in Vilnius, but you will work in close interaction with the experienced professionals in SEB Group CRO organization across Nordic and Baltic countries.

As a Quantitative Analyst, you will be responsible for:

Developing methodologies and advanced tools to improve model review process
Testing model performance both from quantitative and qualitative perspectives
Assessing risk model design and methodology
Interpreting results of the tests performed and providing the insights
Consolidating your analysis in interactive reports
Presenting validation results to interested parties and management
Support SEB Group CRO organization in risk measurement related projects

Who we are looking for:

An academic background in statistics, mathematics, data science, econometrics, physics, engineering or similar
2 and more years work experience in data analysis or credit risk modelling/validation (advantage)
Good statistical/programming knowledge (R, Python) and data handling skills
Willingness to take on ownership and to deliver good quality work on time
Analytical and strategic mindset with the ability to transform theory into concrete action
Proactive and constructive team player, ready to share experience and ideas
Good writing and communication skills (English is the main working language)

What we offer:

Entrepreneurial Scandinavian environment: work-life balance, international working environment, empowering culture, friendly and welcoming teammates.
Growth culture: extensive training and learning opportunities, local and international internal mobility possibilities, put an impact on social or environmental issues.
Modern environment: innovative company in forefront of technology, challenging, cutting-edge work, excellent office environment, agile and modern ways of working.
Additional monetary benefits: paid seniority vacation and volunteering days, allocations to Your pension fund, profit sharing programme, and additional health insurance.

Do you want to be a part of SEB?

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.

We are looking forward to your application by June 30, 2025.

Since we select candidates continuously, feel free to send in your application before the deadline.

Learn more about working at SEB here: https://www.seb.lt/en/gs

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.

#GSV