Global Fraud Strategist - AI-Driven Detection (Hybrid)

Clara; Ciudad de México; Hybrid; MXN 2,216,000 - 3,323,000; Full time

Benefits offered by this job

Stock options

Learning budget

English as working language

Job summary

Clara is seeking a Fraud Strategist Expert to shape and scale its global fraud detection strategy across markets. You will own the fraud detection program, driving AI-enabled automation and governance while partnering with Fraud Operations, Risk, Product, Engineering, and Data Science.

You will build scalable systems that stay ahead of evolving threats, with 24/7 coverage and clear KPIs. Hybrid work from Mexico City is supported.

Qualifications

• 7+ years of experience in Fraud Strategy, Fraud Prevention, Risk Analytics, Fraud Detection, or related fields, ideally in fintech or payments.
• Strong expertise in fraud detection methodologies, rules-based strategies, risk signals, and transaction monitoring.
• Experience designing or optimizing fraud detection strategies and automated decisioning frameworks.
• Solid understanding of machine learning, AI-driven fraud detection, and automation; collaboration with technical teams.
• Experience with fraud detection platforms, rule engines, case management systems, or risk decisioning tools.
• Strong analytical skills using SQL, Python, or similar to analyze fraud patterns and measure performance.
• Experience defining and monitoring fraud KPIs, including detection rates and false positives.
• Understanding of model governance, explainability, risk controls, and human oversight in automation.
• Proven ability to influence cross-functional stakeholders without direct management authority.
• Adaptability to fast-changing environments with ownership mindset.
• Experience or interest in using AI tools to automate workflows.

Responsibilities

• Define and own global fraud detection strategies across vectors and regions.
• Drive evolution of fraud detection infrastructure, including rule engines and ML models.
• Lead AI and automation roadmap for fraud detection; build scalable solutions with governance.
• Identify opportunities to automate alert triage, investigations, and workflows using tools like N8N.
• Explore AI-powered detection capabilities: anomaly detection, behavioral analysis, automated rule optimization.
• Establish model governance, explainability, and risk controls with human oversight.
• Share fraud intelligence across regions for faster pattern identification and consistency.
• Monitor regional detection performance and identify gaps with data platforms like Databricks and Metabase.
• Collaborate with Fraud Operations, Risk, Product, Engineering, and Data Science to translate strategy into tools.
• Define automation and monitoring to enable 24/7 fraud detection coverage.
• Set KPIs and performance frameworks for detection effectiveness and platform reliability.

Skills

Fraud strategy

Fraud prevention

Risk analytics

Fraud detection

Machine learning

SQL

Python

Data analysis

Stakeholder influence

Automation

Tools

Databricks

Metabase

N8N

Job description

Clara is seeking a Fraud Strategist Expert to shape and scale its global fraud detection strategy across markets. You will own the fraud detection program, driving AI-enabled automation and governance while partnering with Fraud Operations, Risk, Product, Engineering, and Data Science.

You will build scalable systems that stay ahead of evolving threats, with 24/7 coverage and clear KPIs. Hybrid work from Mexico City is supported.