Blaze is a leading online gaming platform delivering a world-class entertainment experience to millions of players. As the iGaming landscape evolves, maintaining the highest standards of integrity, transparency, and regulatory compliance is our top priority. We are looking for a sharp, agile AML/CFT Compliance Specialist to protect our platform, players, and ecosystem from financial crime.

In this role, you won't just follow compliance policies—you will code them. You will sit between the Compliance, Data Science, and Engineering teams, building the pipelines, risk models, and dashboards that protect Blaze from financial crime. Your mission is to automate risk detection, optimize our screening algorithms, and ensure our data infrastructure seamlessly feeds accurate regulatory reports to COAF and the SPA.

• Data Architecture & Reporting: Build, maintain, and scale robust AML/CFT data pipelines and automated monitoring systems to ensure flawless, real-time regulatory reporting to COAF and the SPA.
• Predictive Risk Modeling: Develop, tune, and manage predictive Risk Scoring models using data analytics and machine learning to accurately classify and monitor player risk levels.
• Sanctions & Screening Integration: Design and optimize data integrations with global sanctions and risk watchlists (PEP, UN, OFAC), tuning algorithms to ensure data quality, maximize coverage, and reduce false-positive alerts.
• Policy to Code Translation: Translate complex AML/CFT regulatory requirements and internal procedures into structured data logic, automated rules engines, and efficient operational workflows.
• Business Intelligence (BI) & Analytics: Build and maintain executive dashboards, KPI tracking systems, and BI reports to power annual effectiveness assessments and regulatory audits.
• The KYX Framework: Collaborate with engineering teams to embed data-driven logic into KYC, KYP, KYE, and KYS processes, utilizing advanced analytics to streamline case management.
• Advanced Fraud & Forensic Detection: Proactively mine transactional data to identify hidden patterns, structural anomalies, and behavioral trends indicative of money laundering or fraud.
• Risk Metric Frameworks: Develop and maintain risk matrices and quantitative frameworks to measure the effectiveness of internal controls on an annual basis.
• Advanced Behavioral Analytics: Identify patterns, anomalies, and behavioral trends in transactional data to proactively detect financial crime indicators.

• Education: Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, or a highly quantitative field.
• High-Volume Data Environments: 2+ years of experience in Data Analytics or Data Engineering, ideally within iGaming, FinTech, E-commerce, or Digital Banking, where transaction volumes are massive and real-time.
• AML/CFT Frameworks: A solid conceptual understanding of financial crime indicators, transaction monitoring, and what PEP/OFAC/Sanctions lists are.
• The "Translator" Ability: Ability to sit with a legal/compliance officer, understand a text-heavy law, and translate it into a mathematical formula or an automated rule code.
• Adaptability: Ability to thrive in a high-growth, fast-moving digital environment.

• Meal Voucher
• Transportation Allowance
• Health Insurance
• Paid-Time Off