руководитель антифрода

The company builds antifraud solutions, including detection rules, scoring models, and a centralized antifraud service, to prevent fraud and deliver measurable business impact.

• Own and develop the antifraud domain end to end, defining strategy, roadmap, and priorities across fraud types and taking accountability for measurable results from research to production
• Lead a cross-functional antifraud team, set technical and analytical standards, grow expertise, and systematize knowledge of fraud schemes in code, detection rules, and documentation
• Build and centralize the antifraud platform by identifying solutions across company domains, consolidating their logic into a single service, and delivering it to production
• Research attacks and design and improve fraud detection mechanisms, including developing and modeling detection rules, measuring precision, recall, and monetary impact, and retuning or retiring ineffective rules
• Build fraud feature sets, train and implement scoring models, and automate antifraud measures that currently require manual activities
• Partner with domain and business owners to collect requirements and provide teams with the antifraud tools and capabilities they need

• Hands-on experience building antifraud solutions for high-volume consumer products such as iGaming, fintech, marketplaces, or payments, with practical experience across multiple fraud types
• Experience owning strategy, roadmap, and prioritization, with accountability for results from initial research through production rollout
• Ability to independently write and ship production-ready code and contribute hands-on alongside the team
• Strong SQL and Python skills for fraud research, data analysis, rule development, modeling, and automation
• Experience leading or mentoring technical specialists, setting standards, developing team expertise, and ensuring knowledge is captured in code, rules, and documentation
• Practical experience using AI-assisted tools to accelerate research, analysis, development, or other day-to-day technical workflows
• Будет плюсом: Experience applying Machine Learning to imbalanced classification and scoring problems

• High salary plus performance bonuses and salary revision
• Work schedule: Mon-Fri (8 hours per day) with flexible starting hours
• 24 Days holiday leave
• Corporate English lessons
• Exciting work challenges that allow you to grow to your full potential
• A strong team of like-minded professionals to support ambitious projects and professional development
• Worldwide hiring