No applications. Teams find and message you directly.
Join Plata as a Senior/Lead Product Analyst to shape the future of our Antifraud & Disputes system, leveraging analytics and ML to prevent fraud and manage disputes effectively.
We are building the next generation of our Antifraud & Disputes system and are looking for a Product Analytics Senior/Lead to own the analytical, ML, and decision-making foundation behind how we detect, prevent, and manage fraud and disputes across products.
- Own Antifraud & Disputes Analytics end-to-end — metrics, dashboards, monitoring, data quality, and analytical support for business decisions
- Define the team's roadmap and priorities, allocating resources to the highest-impact problems
- Build and own ML models for Antifraud & Disputes across the full lifecycle — from feature engineering to deployment and monitoring
- Manage antifraud-related costs (vendors, tooling, operations) and drive efficiency without compromising risk or customer experience
- Partner with Product and Engineering to shape solutions and influence priorities for fraud prevention and disputes
- Optimise Fraud Operations at scale, working with a 150+ person team through data, automation, and process redesign
- Build self-service analytics and LLM-based tools so other teams can answer common questions independently
- Define and track the framework for measuring antifraud impact — losses, approval/conversion rates, disputes, costs, and friction
- Turn complex fraud and dispute problems into structured investigations and solutions across rules, ML, product, and operations
- Evaluate and manage external vendors — testing, benchmarking, and driving adoption decisions
- A mathematical or technical degree from a top-tier university (MSU, MIPT, HSE, MSTU, MEPhI, NSE, etc.)
- Expert knowledge of mathematical statistics, probability theory, and systematic thinking
- Hands-on experience building and deploying ML models in production (feature engineering, validation, monitoring)
- Advanced SQL and Python
- Hands-on experience with Tableau, Superset, or similar BI tools to translate data into actionable insights
- Ability to understand business objectives and transfer them into technical analytical tasks
- Experience in building processes and scaling them in fast-paced environments, including work with large operational teams
- English proficiency (B1+) for effective collaboration within our international community
- Relocation support to our hub in Mexico with full visa & permit support to the employee and family
- Flexible work from our office
- Healthcare Coverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation policy: 20 working days of annual leave and paid sick leave