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.
You will shape how we prioritise antifraud initiatives, build and scale ML models for fraud and dispute detection, and design the business logic behind risk decisions, ensuring we protect the business and customers while minimising friction and cost. This is a high-impact opportunity to define an end-to-end antifraud analytics function from the ground up, partnering closely with Product, Engineering, Risk, and Operations teams to turn ideas into scalable production systems.
What you'll do:
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
What makes you a great fit:
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
Our ways of working:
Innovative Spirit:
a team from the best technical universities
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances
Our benefits:
Relocation support to our hub in Mexico
with full visa & permit support to the employee and family
Versátil 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

📌 Senior/Lead Product Analyst [Antifraud] (México)
🏢 Plata Card
📍 México