job overview

We are looking for a Principal Fraud Intelligence Engineer to build sophisticated systems that detect, investigate, and prevent financial crime across digital payments and financial platforms.

Key Responsibilities

• Design advanced fraud-detection architectures combining real-time transaction monitoring, behavioral analytics, device intelligence, and risk scoring.
• Develop machine-learning and rules-based detection frameworks for account takeover, payment fraud, synthetic identities, transaction laundering, and coordinated attacks.
• Build real-time risk decisioning services capable of evaluating transactions within strict latency requirements.
• Engineer graph-based models to identify relationships between accounts, devices, payment instruments, merchants, and suspicious activity.
• Partner with data scientists to productionize predictive models and continuously evaluate model performance.
• Establish fraud experimentation frameworks for testing new detection strategies without unnecessarily increasing customer friction.
• Develop monitoring systems for false positives, fraud losses, model drift, detection coverage, and operational effectiveness.
• Work closely with cybersecurity, compliance, payments, and product teams to strengthen the overall financial-risk architecture.

Qualifications & Experience

• 6+ years of experience in fraud engineering, risk technology, financial crime analytics, machine learning engineering, or related fields.
• Strong Python and SQL capabilities, with experience building production-grade analytical systems.
• Knowledge of real-time data processing, feature engineering, graph analytics, and machine-learning pipelines.
• Experience with payment fraud, digital banking risk, card transactions, or online financial services.
• Strong understanding of data governance, model monitoring, and secure financial-data processing.

What We Offer

• Ownership of advanced fraud-intelligence technology with measurable business impact.
• Access to large-scale financial transaction and behavioral data environments.
• A technically challenging role combining fintech, AI, cybersecurity, and data engineering.
• Competitive remuneration and opportunities for long-term career growth in Estonia’s technology sector.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

#JobsHubEstonia #GlobalRecrument
#CareerOpportunities #HiringNow
#JobSeekersNetwork #EstoniaJobs
#RecruitmentServices #EmploymentPortal.