Moonfare
Senior Data Architect(m/w/x)
Vollzeitnur vor OrtSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
TFTF Bank
Senior Credit Risk Analyst(m/w/x)
Berlin
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Interpreting credit bureau and internal data for policy and pricing strategies in the lending industry. 3 years financial services analytics experience and quantitative Bachelor's degree required. Flexible working arrangements.
Anforderungen
- Minimum 3 years experience in lending industry
- Interest in developing career in credit risk analytics and statistical modelling within banking sector
- 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
- Understanding of statistical analysis techniques
- Understanding of data modelling methodologies
- Experience or strong interest in predictive modelling
- Logistic regression knowledge advantageous
- Excellent written and verbal communication skills
- Ability to translate complex data into 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- R
Benefits
Attraktive Vergütung
- Competitive salary
Weiterbildungsangebote
- Professional development
- Training opportunities
Lockere Unternehmenskultur
- Collaborative and inclusive work environment
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Career progression opportunities
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens TF Bank erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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TFTF Bank
Senior Credit Risk Analyst(m/w/x)
Berlin
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Interpreting credit bureau and internal data for policy and pricing strategies in the lending industry. 3 years financial services analytics experience and quantitative Bachelor's degree required. Flexible working arrangements.
Anforderungen
- Minimum 3 years experience in lending industry
- Interest in developing career in credit risk analytics and statistical modelling within banking sector
- 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
- Understanding of statistical analysis techniques
- Understanding of data modelling methodologies
- Experience or strong interest in predictive modelling
- Logistic regression knowledge advantageous
- Excellent written and verbal communication skills
- Ability to translate complex data into 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- R
Benefits
Attraktive Vergütung
- Competitive salary
Weiterbildungsangebote
- Professional development
- Training opportunities
Lockere Unternehmenskultur
- Collaborative and inclusive work environment
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Career progression opportunities
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens TF Bank erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
TF Bank
Branche
FinancialServices
Beschreibung
The company is a fast-growing digital bank and a pan-European card and payment platform, developing simple and flexible payment and financing solutions.
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