Working Student - Technical Business Analytics & Workflow Development (m/f/d)

Working Student - Technical Business Analytics & Workflow Development (m/f/d)

Riverty GmbH

Berlin
Python
SQL
C#
JavaScript
API Integration
Business Process Modeling
Machine Learning
Risk Management
Fraud Prevention
Analytical Thinking

Hexjobs Insights

Position for Working Student in Technical Business Analysis and Workflow Development at Riverty GmbH in Berlin, working 15-20h/week on risk management and fraud prevention.

Schlüsselwörter

Python
SQL
C#
JavaScript
API Integration
Business Process Modeling
Machine Learning
Risk Management
Fraud Prevention
Analytical Thinking

Introduction

We are looking for a

Working Student - Technical Business Analyst & Workflow Development (m/f/d)

(limited, part-time, 15-20h/week) Join our team at our location in Berlin – flexible working conditions available.

Ideally, you're excited to continue your journey with us after graduation and grow into a full-time role within one of our product teams.

Key responsibilities and main tasks

We are looking for a highly motivated working student to take a hands-on role in shaping and improving risk management and fraud prevention processes in a dynamic FinTech environment. You’ll support the design, implementation, and optimization of workflows on our risk platform, contribute to requirements engineering, and assist in integrating third-party APIs and machine learning models. This is a hands-on opportunity to help build and improve how risk and fraud prevention are designed and operated across our systems — combining analytical thinking with technical problem-solving in the payment domain.

  • You will be part of an international cross-functional team with product managers, analysts, and engineers, working in an agile environment to develop innovative risk management and fraud prevention solutions.
  • You support the business analysis process – from conceptualizing new features with stakeholders to assisting in technical solution design, defining acceptance criteria, and contributing to testing activities.
  • You develop a solid understanding of the customer risk and fraud domain within our BNPL products and leverage that knowledge to support ongoing business and product initiatives.
  • You help design and implement decision workflows and business logic on the workflow engine that forms the core of our risk decision platform in the e-commerce and payments space.
  • You assist in integrating third-party APIs and machine learning models into our risk decisioning infrastructure.
  • You contribute to continuous improvement through quality assurance, test automation, and documentation of developed solutions.

Skills and qualifications

  • Currently enrolled in a relevant degree program (e.g. Computer Science, Business Informatics or similar), ideally with at least one year left in your studies.
  • First hands-on experience from internships or student jobs – ideally in the tech, e-commerce, or payments domain.
  • Programming skills in any language, preferably with first experience in backend development; knowledge of C# or JavaScript is a plus.
  • Familiar with data analysis or processing (e.g. using SQL or Python), with an analytical mindset and a passion for problem-solving.
  • Ideally, you’ve worked with modeling techniques like BPMN and have a basic understanding of modern APIs and machine learning, which you’re eager to deepen through real-world projects.
  • A clear and proactive communicator who enjoys collaborating in a dynamic, fast-paced environment.
  • Fluent in English, German is a plus.
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