Quantitative Analyst in Credit Risk Model Validation | SEB, Vilnius

Vilnius
SEB Global Services – Risk & Credits /
Risk /
Hybrid
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?
 
What you will be doing
You will be a part of a diverse and professional team within Group Risk 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 Group Risk 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 Group Risk 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 Group Risk 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.
Learn more about benefits at SEB and why you´ll love working with us: https://www.seb.lt/en/career
 
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. 
 
We are looking forward to your application by May 30, 2024.
Monthly salary range for this position: 2400 - 5600 EUR (before tax deduction). The final offer will depend on the experience and competencies of the selected candidate. Overall remuneration package consists of the salary together with other benefits.