Credit Risk Team Member, German

PwC

. Develop, document, review, and enhance credit risk methodologies, including IFRS 9, AIRB, and stress tests .

Posted 9/30/2026full-timeWarsaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and enhancing credit risk methodologies and models, including IFRS 9 and AIRB. Proficient in statistical analysis and model validation, with strong communication skills in English and German.

Highest-signal resume keywords

Credit Risk MethodologiesIFRS 9AIRBCredit Risk ModelingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Credit Risk Modeling ConceptsModel ValidationPerformance AssessmentStatistical KnowledgeData Science PackagesC#PythonSQLRMatlab

Soft Skills

Proactive Problem-SolvingOpen CommunicationStructured Work ApproachSelf-OrganizationWillingness to Learn

Tools & Technologies

Microsoft Office SuitePowerPointExcelAI Tools

Industry Keywords

Credit Risk ManagementFinancial SectorConsultingBankingInsurance

Tech Stack

Tools & technologies

PythonScikit-LearnSQL

About the role

Key responsibilities & impact

Develop, document, review, and enhance credit risk methodologies, including IFRS 9, AIRB, and stress tests
Develop and enhance credit risk models, including PD, LGD, EAD, and credit scoring models
Carry out model validation or performance assessment and monitoring projects
Respond to ad-hoc analysis requests and apply risk-specific measurements
Review and provide best-practice guidance on credit risk governance, policies, and procedures
Build and maintain relationships with new and established clients
Cooperate daily with PwC Network colleagues, especially PwC Germany
Participate in cross-border consulting projects for Germany’s financial sector
Travel occasionally to Germany, including Frankfurt

Requirements

What you’ll need

Fluency English (C1 level or higher) as well as ability to communicate in German
Completed or soon-to-be-completed higher education in mathematics, econometrics, statistics, finance or computer science
Applied and proven knowledge of statistics
Practical knowledge of credit risk modeling concepts (IFRS 9 and/or AIRB methods, credit risk management processes)
Profound knowledge working with Microsoft Office Suite, especially PowerPoint and Excel
Ability to use AI tools to automate tasks, analyze information, and generate content
Interest in topic development and active participation in German FS-Risk practice teams
Availability for occasional business travel to Germany
Willingness to learn new skills
Proactive and problem-solving character
Open, proactive, and honest communication style
Structured and self-organized work approach with high quality of results
Nice to have: experience in the financial sector (e.g., banking, insurance, other consulting firms)
Nice to have: knowledge of C#, Python, SQL, R, Matlab, SAS and data science packages such as tidyverse, sklearn, data.table

Benefits

Comp & perks

Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave
Full support during onboarding process
Mentoring from experienced colleagues
Training sessions and workshops
Certification co/financed by PwC
Conversations with native speaker
Medical care package (incl. freedom of treatment, physiotherapy, discounts on dental care)
Mindfulness and psychological support
Education through dedicated webinars and workshops
Financial and legal counselling
Possibility to create an individual benefits package (a.o. lunch pass, concierge, veterinary package for a pet, massages)
Access to a cafeteria - vouchers, discounts on IT equipment and car purchase
3 paid hours for volunteering per month
Additional paid Birthday Day off
Employee referral opportunity