Job
In this role, you analyze technical processes, develop actionable solutions for AI teams, and support projects until implementation on a cloud-based fraud management platform.
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Job technologies
Your role in the team
- You analyze business and technical processes and translate them into actionable solutions for developers and AI teams.
- You support implementation projects from requirements analysis through testing to go-live and independently facilitate workshops.
- You structure requirements, data flows, and interfaces, and support the integration of new services into a cloud-based fraud management platform.
- After implementation, you process data from various sources, check its quality, interpret it, and derive reliable insights for different business units.
- You analyze large and complex datasets to identify fraud patterns, anomalies, and optimization opportunities in cloud-based fraud detection.
- You develop data-driven fraud use cases, KPIs, and monitoring approaches, and support the optimization of rule sets, scoring approaches, and AI/machine learning models.
Our expectations of you
Education
- You have completed a degree in computer science, statistics, mathematics, economics, or a comparable quantitative field, or hold an equivalent qualification with a focus on data.
Qualifications
- You are experienced in translating business requirements into technical solutions, data flows, and data models, and in explaining complex topics clearly.
- You have excellent knowledge of SQL, Python, BI tools, Jira, and Confluence, as well as a good understanding of cloud-based data architectures, data pipelines, and cross-system data flows.
- You stand out for your analytical thinking, initiative, resilience, strong communication skills, and enthusiasm for complex topics, and you speak and write German and English at C1 level.
Experience
- You have several years of experience in business process analysis, as well as analyzing and preparing complex data, deriving recommendations for action, and presenting findings—ideally in the finance, fraud, or credit card sector.
- Ideally, you have experience with event streams, Kafka, APIs, and real-time processing, as well as a good understanding of data-driven fraud detection, scoring logic, rule sets, or machine learning approaches.
Benefits
Health, fitness & fun
Higher take-home pay
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Deutsche Kreditbank AG's subsidiary, Die DKB Service GmbH, is a crucial service provider within the group and plays an important role in its success. With over 1,400 employees, we are both efficiency drivers and impulse generators for Deutsche Kreditbank AG.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Banking, Finance, Insurance
Employer reviews
- Working conditions
- 4.4
- Career growth
- 2.8
- Team culture
- 3.5
- Engineering
- 3.1
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