Senior Credit Risk Analyst
Job 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 modelling within the banking sector.
Please note: This position is for a Senior Credit Risk Analyst role focused on credit risk assessment and modelling not financial analysis.
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
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 Development: Contribute to developing and maintaining statistical models including scorecards and other credit risk assessment tools
Stakeholder Collaboration: Provide clear actionable insights and recommendations to stakeholders across the business supporting informed decision-making and business growth
Cross-functional Teamwork: Work collaboratively with colleagues in the decision sciences and analytics team as well as other departments across different locations
Communication & Reporting: Present complex analytical findings to both technical and non-technical audiences through clear presentations reports and data visualisations
Essential Requirements
Education & Experience:
Bachelors degree in Mathematics Statistics Economics Physics Computer Science Engineering or related quantitative discipline. A Masters 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).
Technical Skills:
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)
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
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
Opportunity to work with advanced analytics and statistical modelling techniques
Professional development and training opportunities
Collaborative inclusive working environment
Career progression opportunities within our growing analytics function
Private health insurance focused on employee wellbeing
Meal vouchers and flexible compensation plan
Office perks such as snacks and regular company events
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.
About Company
Avarda Group helps customers across Europe manage their personal finances.We have been listed on Nasdaq Stockholm since 2016. Born in a small Swedish town we combine a pragmatic and disciplined business mindset with cutting edge technology and innovation always with a strong focus on ... View more