Senior Python Developer – Fraud Detection & Data Analytics

At Check Payee, we’re building the infrastructure of trust for European payments. Our real-time API verifies payees before payments are processed — protecting users and reducing APP fraud. As a Senior Python Developer, you’ll work on fraud detection logic, secure APIs, and large-scale transaction analytics that power our core platform.

• Design and build REST APIs
  :
  For fraud detection and payment verification
• Process and analyze data
  :
  Financial transaction data to detect anomalies and patterns
• Optimize performance
  :
  Profile backend performance for real-time decision-making
• Collaborate cross-functionally
  :
  Work with product, engineering, and compliance teams on architecture and roadmap
• Own feature development
  :
  Develop fraud-related features from idea to production
• Frameworks
  :
  Django, DRF, FastAPI (optional)
• Data & ML
  : pandas, Num Py, scikit-learn
• 5+ years of Python backend development experience
• Deep knowledge of Django and REST API architecture
• Strong experience with relational databases and caching (PostgreSQL, Redis)
• Familiarity with fraud detection systems or financial risk analytics
• Solid understanding of system design and secure coding principles
• English proficiency for reading documentation and team communication
• Familiarity with Docker, CI/CD pipelines, and AWS
• Background in fintech or regulated industries
• Experience with real-time data pipelines or fraud modeling
• Knowledge of SEPA and European payment infrastructure
• We speak English, Ukrainian, and Russian
• We’re fast, transparent, and support each other
• We value smart architecture and clean code
• You’ll be part of a fraud-fighting, impact-driven backend team

Check Payee is a European Verification of Payee (VoP) provider helping banks, PSPs, and fintechs prevent fraud and comply with SEPA regulations. We’re part of a German IT group with 10+ years of experience in fintech and medtech. We build systems that are secure, scalable, and fast — and we believe in engineering with purpose.

• Intro Call
  :
  Initial discussion about your experience and our needs
• Tech Interview
  :
  Architecture and fraud detection logic discussion
• Coding Task
  :
  Practical assessment of your Python skills
• Team Call
  :
  Meet with the engineering team
• Offer
  :
  Complete process within 10-14 days
• 5+ years of backend development experience with Python
• Proficiency with Django and Django REST Framework
• Experience with PostgreSQL and Redis
• Understanding of OOP, system architecture, and core design patterns
• Experience developing and maintaining REST APIs
• Background in fraud detection, transaction analytics, or risk scoring
• Confident reading of English technical documentation
• Remote-first culture with flexible hours
• Opportunity to fight financial fraud at scale
• Work with experienced, international team
• Modern stack:
  Python 3.11+, Django, Click House, Docker
• Professional development budget and conference support