Deloitte
Senior Consultant Credit Risk(m/w/x)
Full-timeWith HomeofficeSenior
Düsseldorf, Berlin, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart
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TFTF Bank
Senior Credit Risk Analyst(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Statistical modeling of internal and Credit Bureau data for credit policy and pricing strategies at a lending institution. 3 years in lending industry and financial services analytics required. Flexible working arrangements.
Requirements
- Minimum 3 years experience in lending industry
- Interest in credit risk analytics and statistical modelling career development
- Bachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline
- Master's degree (preferred)
- Minimum 3 years experience in analytics, data science, data analysis, or lending/credit assessment within financial services
- Previous experience with unsecured lender (bank, fintech, or similar credit provider)
- Strong analytical and problem-solving abilities
- 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 (advantageous)
- Excellent written and verbal communication skills in English
- Ability to translate complex data into clear, actionable business insights
- Strong presentation skills
- Experience communicating to diverse audiences
- Ability to work effectively in fast-paced environments
- Ability to manage multiple priorities
- Programming experience in Python or R
- Experience with data visualisation tools
- Understanding of machine learning techniques applied to credit risk
Tasks
- Collect and analyze data from internal systems
- Collect and analyze data from Credit Bureaus
- Interpret data to identify trends, patterns, and opportunities
- Inform credit policy, limits, and pricing strategies
- Develop and maintain statistical models
- Develop and maintain credit risk scorecards
- Develop and maintain credit risk assessment tools
- Provide clear insights and recommendations to stakeholders
- Support informed business decisions
- Support business growth
- Collaborate with decision sciences and analytics teams
- Work with cross-functional teams globally
- Present complex analytical findings
- Communicate findings to technical and non-technical audiences
- Prepare clear presentations and reports
- Develop clear data visualizations
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Data visualisation tools
- Logistic regression
- Machine learning techniques
Benefits
Competitive Pay
- Competitive salary
Learning & Development
- Professional development
- Training opportunities
Informal Culture
- Collaborative and inclusive work environment
Flexible Working
- Flexible working arrangements
Career Advancement
- Career progression opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TF Bank and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TFTF Bank
Senior Credit Risk Analyst(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Statistical modeling of internal and Credit Bureau data for credit policy and pricing strategies at a lending institution. 3 years in lending industry and financial services analytics required. Flexible working arrangements.
Requirements
- Minimum 3 years experience in lending industry
- Interest in credit risk analytics and statistical modelling career development
- Bachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline
- Master's degree (preferred)
- Minimum 3 years experience in analytics, data science, data analysis, or lending/credit assessment within financial services
- Previous experience with unsecured lender (bank, fintech, or similar credit provider)
- Strong analytical and problem-solving abilities
- 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 (advantageous)
- Excellent written and verbal communication skills in English
- Ability to translate complex data into clear, actionable business insights
- Strong presentation skills
- Experience communicating to diverse audiences
- Ability to work effectively in fast-paced environments
- Ability to manage multiple priorities
- Programming experience in Python or R
- Experience with data visualisation tools
- Understanding of machine learning techniques applied to credit risk
Tasks
- Collect and analyze data from internal systems
- Collect and analyze data from Credit Bureaus
- Interpret data to identify trends, patterns, and opportunities
- Inform credit policy, limits, and pricing strategies
- Develop and maintain statistical models
- Develop and maintain credit risk scorecards
- Develop and maintain credit risk assessment tools
- Provide clear insights and recommendations to stakeholders
- Support informed business decisions
- Support business growth
- Collaborate with decision sciences and analytics teams
- Work with cross-functional teams globally
- Present complex analytical findings
- Communicate findings to technical and non-technical audiences
- Prepare clear presentations and reports
- Develop clear data visualizations
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Data visualisation tools
- Logistic regression
- Machine learning techniques
Benefits
Competitive Pay
- Competitive salary
Learning & Development
- Professional development
- Training opportunities
Informal Culture
- Collaborative and inclusive work environment
Flexible Working
- Flexible working arrangements
Career Advancement
- Career progression opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TF Bank and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
TF Bank
Industry
FinancialServices
Description
The company is a fast-growing digital bank and a pan-European card and payment platform, developing simple and flexible payment and financing solutions.
Not a perfect match?
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Consultant Data Science Credit Risk(m/w/x)
Full-timeWith HomeofficeJuniorDüsseldorf, Berlin, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart