Senior Credit Risk Analyst
TF BankVilnius, Vilnius County, Lithuania
Posted November 4, 2025
Full Time
About the Company
TF Bank is a digital bank offering consumer banking services and e-commerce solutions through a proprietary IT platform with a high degree of automation. The platform is designed for scalability and adaptation to different products, countries, currencies and digital banking solutions. We carry out lending and/or deposit activities with consumers in Sweden, Finland, Norway, Denmark, Poland, Germany, Austria, Estonia, Lithuania, Latvia, Spain, Ireland, the Netherlands and Italy through subsidiaries, branches or cross-border banking with the support of the Swedish banking license. The operations are divided into three segments: Credit Cards, Ecommerce Solutions and Consumer Lending. TF Bank was founded in Sweden in 1987 and has since the very start exhibited a strong track-record of profitable growth. From our Swedish base we have established a broad European presence and have evolved into a European card and payment platform. TF Bank is listed in the mid cap segment at Nasdaq Stockholm since 2016.
Job Description
We are seeking a talented Senior Credit Risk Analyst to join our growing credit risk analytics team. This role is specifically designed for professionals with minimum of 3 years of experience in the lending industry who are looking to develop their career in credit risk analytics and statistical modelling within the banking sector.
Requirements
- Bachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline.
- Minimum of 3 years of experience in analytics, data science, data analysis, or lending/credit assessment within the financial services sector.
- Previous experience working for an unsecured lender (bank, fintech, or similar credit provider).
- Strong analytical and problem-solving abilities with excellent attention to detail
- Proficiency in SQL for data extraction, manipulation, and analysis
- Understanding of statistical analysis techniques and data modelling methodologies
- Experience or strong interest in predictive modelling (logistic regression knowledge would be advantageous)
- Excellent written and verbal communication skills in English
- Ability to translate complex data into clear, actionable business insights
- Strong presentation skills with experience communicating to diverse audiences
- Proven ability to work effectively in fast-paced environments whilst managing multiple priorities
Benefits
- Competitive salary and benefits package
- Opportunity to work with advanced analytics and statistical modelling techniques
- Professional development and training opportunities
- Collaborative, inclusive working environment
- Flexible working arrangements
- Career progression opportunities within our growing analytics function