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For Companies At a Glance
- Tasks: Lead credit risk analytics, develop models, and enhance strategies for lending products.
- Company: Join a dynamic financial services firm focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working, professional development, and a supportive team environment.
- Why this job: Make a real impact in credit risk while working with advanced analytics across Europe.
- Qualifications: 6-10 years in credit risk analytics, strong analytical skills, and proficiency in Python and SQL.
- Other info: Inclusive workplace with opportunities for career growth and mentorship.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are seeking a talented Principal Credit Risk Analyst to join our growing Credit Risk Analytics team. This role requires 6‑10 years of experience in the lending industry and focuses on credit risk assessment and modelling within the banking sector.
About The Role
As a Principal Credit Risk Analyst you will develop, daily manage, and enhance our credit risk analytics capabilities. You will work on affordability strategy (including Open Banking and alternative data), underwriting scorecards, pricing models, low and grow strategies, pre‑collection strategies, and the launch of new credit products. The role is based in the UK but offers exposure to pan‑European credit risk analytics across Germany, Austria, Norway, Spain, Italy, and other markets.
Key Responsibilities
- Data Analysis & Insights: Own end‑to‑end strategies for specific population segments, collecting, analysing, and interpreting data from internal systems, Open Banking, and Credit Reference Agencies to inform policy, limit and pricing strategies.
- Model Development: Develop and maintain statistical models, including scorecards, ML models and other credit risk assessment tools.
- Stakeholder Collaboration: Provide clear, actionable insights and recommendations to stakeholders across the business to support informed decision‑making and business growth.
- Cross‑functional Teamwork: Work collaboratively with the decision sciences and analytics team and other departments across locations.
- Communication & Reporting: Present complex analytical findings to technical and non‑technical audiences through clear presentations, reports, and data visualisations.
- Mentoring: Mentor and supervise junior analysts on model and strategy development projects and Python model pipeline development.
Essential Requirements
- Bachelor degree in a quantitative discipline (Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, etc.).
- 6‑10 years of experience in analytics, data analysis or lending/credit assessment within financial services.
- Previous experience working for an unsecured lender, preferably on credit card products.
Technical Skills
- Strong analytical and problem‑solving abilities with excellent attention to detail.
- Proficiency in SQL for data extraction, manipulation and analysis.
- Strong programming experience in Python (ideally for model development).
- Understanding of statistical analysis techniques and data modelling methodologies.
- Experience in predictive modelling (logistic regression and GBM knowledge at minimum).
- Understanding of machine learning techniques applied to credit risk.
Professional Skills
- 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.
- Team player.
Desirable Requirements
- Postgraduate qualification in a relevant quantitative field.
- Knowledge of credit risk regulations and best practices in the UK market.
- Experience with data visualisation tools.
- Experience of full credit card customer journey (from origination to recoveries).
- Experience with model pipeline maintenance and monitoring.
- Experience in analytics/DS project management.
What We Offer
- 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.
Application Requirements
We are unable to provide visa sponsorship for this role. Candidates must have the right to work in the UK without requiring sponsorship. We are committed to creating an inclusive workplace that reflects the diversity of the communities we serve. We welcome applications from all qualified candidates regardless of age, disability, gender identity, race, religion, sexual orientation, or background.
Principal Credit Risk Analyst employer: TF Bank AB (publ)
Contact Detail:
TF Bank AB (publ) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Credit Risk Analyst
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the credit risk game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your work in data analysis and model development. Highlight how your skills can directly benefit their credit risk strategies.
✨Tailor Your Approach
Before any interview, do your homework on the company and its credit risk practices. Tailor your questions and insights to show you’re genuinely interested and ready to contribute to their team. It’ll make you stand out from the crowd!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our awesome Credit Risk Analytics team.
We think you need these skills to ace Principal Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Credit Risk Analyst role. Highlight your experience in credit risk assessment and modelling, especially if you've worked with unsecured lending or credit card products. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t forget to showcase your technical skills! Mention your proficiency in SQL and Python, and any experience you have with predictive modelling and machine learning techniques. This is your chance to shine, so let us know what you can bring to the table!
Be Clear and Concise: When writing your application, keep it clear and concise. Use straightforward language to explain your experience and achievements. Remember, we appreciate good communication skills, so make sure your application reflects that!
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you’ve got!
How to prepare for a job interview at TF Bank AB (publ)
✨Know Your Numbers
As a Principal Credit Risk Analyst, you'll be dealing with a lot of data. Brush up on your SQL skills and be ready to discuss how you've used data analysis in previous roles. Prepare specific examples of models you've developed or insights you've provided that led to business decisions.
✨Showcase Your Technical Skills
Make sure you can talk confidently about your programming experience, especially in Python. Be prepared to explain your approach to model development and any machine learning techniques you've applied in credit risk. Highlight any projects where you’ve mentored others in these areas.
✨Communicate Clearly
You’ll need to present complex findings to both technical and non-technical audiences. Practice explaining your analytical work in simple terms. Use visuals if possible, as this can help convey your points more effectively during the interview.
✨Understand the Business Context
Familiarise yourself with the lending industry and current trends in credit risk, especially in the UK and pan-European markets. Be ready to discuss how your insights can drive business growth and support decision-making within the company.
