Fraud Strategist Expert (Fintech)

Location: Mexico City, Mexico (Hybrid)

Company

Fintech platform for corporate cards, bill pay, financing, and B2B payments serving businesses across Latin America.

What you will do

• Define and own fraud detection strategies, methodologies, and standards across fraud vectors and regions.
• Evolve fraud detection infrastructure, including rule engines, machine learning models, risk signals, and case management tools.
• Lead AI and automation initiatives for alert triage, investigations, decision-making, and operational workflows using tools such as N8N.
• Develop anomaly detection, behavioral analysis, intelligent alerts, automated rule optimization, and 24/7 monitoring coverage.
• Anticipate emerging threats such as AI-enabled fraud, synthetic identities, deepfakes, and evolving attack patterns.
• Partner with Fraud Operations, Risk, Product, Engineering, and Data Science while defining KPIs for detection effectiveness, automation coverage, model performance, and platform reliability.

Requirements

• 7+ years of experience in Fraud Strategy, Fraud Prevention, Risk Analytics, Fraud Detection, or related functions, ideally in fintech, banking, payments, or financial services.
• Strong expertise in fraud detection methodologies, rules-based strategies, risk signals, and transaction monitoring.
• Experience designing, implementing, or optimizing fraud detection strategies and automated decisioning frameworks.
• Strong understanding of machine learning, AI-driven fraud detection, and automation, with the ability to collaborate 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 tools to analyze fraud patterns, evaluate detection performance, and identify opportunities.
• Experience defining and monitoring fraud detection KPIs, including detection rates, false positives, automation coverage, and model effectiveness.
• Understanding of model governance, explainability, risk controls, and human oversight in automated decision-making.
• Ability to execute independently and influence cross-functional and regional stakeholders without direct management authority.
• Adaptability, ownership, problem-solving skills, and the ability to translate complex fraud challenges into practical, scalable solutions.
• Experience or strong interest in using AI tools to automate workflows.

Nice to have

• Experience scaling fraud detection frameworks across multiple countries or business units, particularly in Latin American fintech or financial services.
• Hands-on experience with AI-powered fraud detection, machine learning models, or automated investigation workflows.
• Familiarity with GenAI, LLMs, agentic workflows, or automation platforms applied to fraud operations.
• Experience with feature stores, model monitoring, anomaly detection, graph analytics, or advanced risk decisioning.
• Knowledge of synthetic identity fraud, deepfake-enabled attacks, and AI-driven fraud schemes.
• Experience with model risk management, validation, fairness assessments, or AI governance.
• Familiarity with card fraud, payment fraud, account takeover, identity fraud, or other financial fraud vectors.
• Independent analytical skills using spreadsheets, SQL, or Python.
• A good sense of humor.

Culture & Benefits

• High talent-density environment with low ego and high ownership.
• Competitive salary and stock options from day one.
• Annual learning budget and accelerated development paths.
• English is the working language, with Spanish and Portuguese used daily.
• Culture emphasizes clarity, simplicity, ownership, pride, adaptability, and inclusivity.