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Senior Analytical Consultant Finance & Payment(m/w/x)
Analyzing large datasets for credit risk and fraud insights at a global data and technology company. Advanced statistical modeling and Python/PySpark expertise required. High autonomy, flexible hours, and remote work options.
Anforderungen
- University degree in Mathematics, Statistics, Data Science, Computer Science, or related field
- Several years of experience in data analytics, analytical consulting, or advisory roles, ideally focused on credit risk, fraud analytics, or marketing analytics
- Strong understanding of banking regulatory requirements and analytical use cases in financial services and payments industry
- Proven expertise in statistical modeling, machine learning, and data mining
- Proficiency in Python or similar programming languages and PySpark
- Experience with cloud-based data and analytics platforms is advantageous
- Experience with data visualization tools is advantageous
- Fluent German language skills
- Fluent English language skills
Aufgaben
- Analyze large, diverse datasets for actionable insights
- Support business decisions in credit risk, fraud analytics, and customer behavior
- Design advanced statistical models and machine learning solutions
- Implement solutions for complex client challenges
- Assess client needs during pre-sales activities
- Develop tailored solution concepts
- Support proof-of-concept projects
- Collaborate with Sales, Product Development, and Marketing teams
- Integrate analytics into client solutions
- Strengthen client relationships
- Identify new business opportunities
- Support business development initiatives
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- PySpark
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work options
Sinnstiftende Arbeit
- High degree of autonomy
Lockere Unternehmenskultur
- Collaborative environment
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Senior Analytical Consultant Finance & Payment(m/w/x)
Analyzing large datasets for credit risk and fraud insights at a global data and technology company. Advanced statistical modeling and Python/PySpark expertise required. High autonomy, flexible hours, and remote work options.
Anforderungen
- University degree in Mathematics, Statistics, Data Science, Computer Science, or related field
- Several years of experience in data analytics, analytical consulting, or advisory roles, ideally focused on credit risk, fraud analytics, or marketing analytics
- Strong understanding of banking regulatory requirements and analytical use cases in financial services and payments industry
- Proven expertise in statistical modeling, machine learning, and data mining
- Proficiency in Python or similar programming languages and PySpark
- Experience with cloud-based data and analytics platforms is advantageous
- Experience with data visualization tools is advantageous
- Fluent German language skills
- Fluent English language skills
Aufgaben
- Analyze large, diverse datasets for actionable insights
- Support business decisions in credit risk, fraud analytics, and customer behavior
- Design advanced statistical models and machine learning solutions
- Implement solutions for complex client challenges
- Assess client needs during pre-sales activities
- Develop tailored solution concepts
- Support proof-of-concept projects
- Collaborate with Sales, Product Development, and Marketing teams
- Integrate analytics into client solutions
- Strengthen client relationships
- Identify new business opportunities
- Support business development initiatives
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- PySpark
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work options
Sinnstiftende Arbeit
- High degree of autonomy
Lockere Unternehmenskultur
- Collaborative environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Experian
Branche
IT
Beschreibung
The company is a global data and technology provider specializing in risk, fraud, and identity management.
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