A complete application in a minute
Tailored resume and cover letter, ready to send.
Компания HireHi ищет ведущего инженера по антифроду для разработки и реализации стратегии и дорожной карты в области антифрода. Вы будете руководить кросс-функциональной командой, объединять логику в единый сервис и выводить решения в продакшн.
Требуется опыт создания антифрод-решений для продуктов с большим объемом пользователей, знание SQL и Python, а также способность писать продакшн-код и наставлять коллег. Ожидается углубление экспертизы и участие в моделировании правил и штрафов.
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