Senior Credit Risk Analyst (m/f/d)
Quick Summary
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…
Data Analysis & Insights: Collect, analyse, and interpret data from multiple sources including internal systems and Credit Bureaus to identify trends, patterns, and opportunities that inform credit policy, credit limit and pricing strategies Model…
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.
About the Role
As a Senior Credit Risk Analyst, you will contribute to the development and enhancement of our credit risk analytics capabilities. This is an excellent opportunity for someone with a first experience in unsecured lending to get wider exposure and larger remit (affordability and underwriting scorecards and credit strategy, pricing and credit risk management) whilst working with cutting-edge statistical models and data-driven insights.
You will have the opportunity to work in an pan-European team and get exposure to credit risk analytics across our international markets including Baltic countries, Germany, Austria and other European markets.
Key Responsibilities
Requirements
~1 min readBachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline. A Master's degree is preferred.
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
Desirable Requirements
Programming experience in Python or R
Experience with data visualisation tools
Understanding of machine learning techniques applied to credit risk
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
Please note: We are unable to provide visa sponsorship for this role. Candidates must have the right to work in the EU without requiring sponsorship.
Location & Eligibility
Listing Details
- Posted
- March 12, 2026
- First seen
- May 6, 2026
- Last seen
- May 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- May 6, 2026
Signal breakdown
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