TF Bank wasfounded in Sweden in 1987 with the purpose of offering finance solutions tocustomers who ordered goods from mail order catalogs. Over time, the Group hasgrown both in terms of product offerings, revenues and geographic presence.

TF Bank prioritises organic growth under controlled conditions, and expansion occurs within carefully selected segments and markets. The business is conducted in Sweden, Finland, Norway, Denmark, Estonia, Latvia, Lithuania, Poland, Germany, Austria, Spain, Ireland and the Netherlands through subsidiary, branch or cross-border banking with the support of the Swedish banking license.

Theoperations are divided into three segments: Consumer Lending, Credit Cards andEcommerce Solutions. TF Bank is listed on Nasdaq Stockholm.

As aCredit Risk Manager, you will develop data-driven strategies, analyse trends, and optimize credit policies for credit cards. Collaborating with teams across Europe, you’ll provide insights to drive business growth and foster innovation in credit risk management.

Key responsibilities:

• Be a hands-on expert in credit risk area.
• Collect and analyze data from various sources, including internal systems, Credit Bureaus, to identify trends, patterns, and opportunities.
• Analyse and make recommendations that help the development of credit policy, scorecards, and limit management strategies for credit cards.
• Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
• Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.
• Collaborate with other analytical teams across the European organization.

Qualifications and previous experience:

• Master degree in a relevant field such as Mathematics, Statistics, Economics, Quantitative Methods, Computer Science or Engineering.
• Minimum of 5 years of experience in analytics or a data science field.
• Practical knowledge of the British credit card market and Credit Bureaus.
• Experience in consumer finance credit risk area in banks or fintechs.
• Deep understanding of credit card products, including risk and profitability drivers.
• Excellent analytical and problem-solving skills, with a strong attention to detail. Algorithmic and creative approach to solving problems.
• Proven track record of delivering impactful insights and recommendations based on data analysis.

Skills:

• Proficiency in data modelling methodologies and statistical analysis techniques.
• Excellent knowledge of SQL for data extraction and manipulation.
• Experience in predictive modelling using logistic regression is required.
• Knowledge of programming languages such as Python or R will be a plus.
• Fluent English to be able to collaborate with colleagues from other countries. 
• Good communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
• Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.

Location:London