Fraud Analytics Engineer

kleinanzeigen.de GmbH; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Private health insurance

Gym Pass (may cover up to 70% of gym)

Remote working allowance 40€ per month

Personal development budget

Learning opportunities to grow your技能

A unique position in an international,

Job summary

Kleinanzeigen, Germany's leading online classifieds, seeks a Technical Fraud Analyst in Barcelona to join our growing fraud team. You will work at the intersection of data, product, engineering, and CS to identify fraudulent behaviour, monitor credential stuffing and bot attacks, and help build proactive defenses.

You'll analyze patterns using marketplace and behavioral data, design technical rules with engineering, and contribute to our roadmap to keep Kleinanzeigen a safe marketplace while

Qualifications

• 4+ years in fraud analytics, trust & safety, or similar technical role in a C2C marketplace or traditional e-commerce environment.
• Strong SQL proficiency and experience with data analysis tools (Tableau, Python, etc.).
• Familiarity with bot detection, account takeovers, credential stuffing, and other common C2C fraud patterns.
• Experience writing technical rules with rule engines (ThreatMetrix, Arkose, Sift, etc.).
• Excellent cross-functional communication — translate technical findings for non-technical stakeholders.
• A curious, proactive mindset and a passion for solving complex problems that have real-world impact.
• Proficient with Python for advanced data analysis and automation.
• Experience with authentication, behavioural biometrics, and fraud stemming from user-generated content such as ads and messages.

Responsibilities

• Analyze fraud patterns using marketplace and behavioral data to uncover new attack vectors, emerging threats, and operational gaps.
• Monitor credential stuffing attacks using signals from login, IPs, device fingerprinting, and rate limiting systems.
• Design and implement technical fraud rules, filters, and tools in collaboration with engineering to align fraud prevention efforts and resolve complex incidents.
• Contribute to the strategic fraud prevention roadmap by identifying opportunities for improvements and automation.
• Support incident response and post-mortems for major fraud events, ensuring learnings feed into product and policy improvements.
• Stay current on industry fraud trends, and tools, bringing external insights to help us stay ahead of attacks.

Skills

SQL

Python

Data analysis tools

Bot detection

Fraud patterns

Cross-functional communication

Curious mindset

Authentication & biometrics

Rule engines

Tools

ThreatMetrix

Arkose Labs

Sift

Internal rule-based system

Job description

Kleinanzeigen, Germany's leading online classifieds, seeks a Technical Fraud Analyst in Barcelona to join our growing fraud team. You will work at the intersection of data, product, engineering, and CS to identify fraudulent behaviour, monitor credential stuffing and bot attacks, and help build proactive defenses.

You'll analyze patterns using marketplace and behavioral data, design technical rules with engineering, and contribute to our roadmap to keep Kleinanzeigen a safe marketplace while