A11
Senior Data Scientist in Credit & Risk Management(m/w/x)
Vollzeitmit HomeofficeSenior
Düsseldorf
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DKDKV Mobility
Senior Data Scientist(m/w/x)
Vollzeit, Teilzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing ML/AI algorithms and regression models for B2B payment solutions. Several years of Data Science and ML experience required. Flexible working hours, eBike leasing support.
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Anforderungen
- Several years of Data Science and Machine Learning experience
- Application of statistical methods
- Application of regression models
- Application of time series analyses
- Application of classical ML techniques
- Application of modern AI algorithms
- High proficiency in Python
- High proficiency in SQL
- Development of cloud-based solutions
- Development of Generative AI use cases
- Development of LLMs
- Development of RAG systems
- Development of 'talk-to-your-data' interfaces
- Solid experience building ML pipelines
- Establishment of MLOps standards
- Maintenance of MLOps standards
- Experience with CI/CD
- Experience with model registry
- Experience with monitoring
- Experience with quality checks
- Ownership of risk models
- Experience with SmartRisk Engine
- Application of explainability methods
- Experience with SHAP
- Experience with Reason Codes
- Domain knowledge in credit risk
- Knowledge of PD, EAD, LGD
- Knowledge of rating processes
- Knowledge of IFRS 9
- Experience with SAP
- Experience with Power BI
- Strong communication skills
- Strong leadership skills
- Collaboration with business units
- Collaboration with IT
- Collaboration with management
- Clear presentation of analytical results
- Mentoring other Data Scientists
- Fostering team growth
- Keeping team aligned with new trends
Aufgaben
- Conduct data-driven analyses
- Derive actionable recommendations
- Develop advanced statistical methods
- Apply regression models, time series analyses, ML/AI algorithms
- Translate analytical results into business insights
- Design robust end-to-end ML pipelines
- Maintain data, features, models, scoring
- Implement testing, versioning, documentation
- Establish MLOps standards
- Manage CI/CD, model registry, monitoring, data-quality checks, incident handling
- Own the SmartRisk Engine
- Develop feature strategy
- Train and retrain models
- Calibrate and backtest models
- Monitor model drift
- Ensure model explainability via SHAP/Reason Codes
- Implement data-driven use cases
- Create loss databases
- Develop early-warning systems
- Manage limit/exposure steering
- Perform clustering and portfolio insights
- Develop cloud-based Data Science solutions
- Use Python and SQL
- Leverage credit risk knowledge (PD, EAD, LGD, rating, IFRS 9/ECL)
- Work with SAP and Power BI
- Mentor and guide Data Scientists
- Encourage innovative thinking
- Share updates on data and ML advancements
- Support team professional growth
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Master-Abschluss
Sprachen
Englisch – fließend
Tools & Technologien
PythonSQLGenerative AILLMsRAG systemsAI agentschat interfacesMLOpsCI/CDmodel registrymonitoringquality checksSmartRisk EngineSHAPReason CodesSAPPower BI
Benefits
Gesundheits- & Fitnessangebote
- Comprehensive company health management
Familienfreundlichkeit
- Parent-child offices
- Family-friendly working time models
Firmenfahrrad
- eBike leasing support
Flexibles Arbeiten
- Flexible working hours
- Balanced mix of on-site meetings and home office
Weiterbildungsangebote
- Access to modern learning environment
Sonstige Vorteile
- Top Employer Germany award
Lockere Unternehmenskultur
- Great Place to Work award
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens DKV Mobility 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.
Zur Originalanzeige bei DKV MobilityÜber das Unternehmen
DK
TransportationRatingen
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
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