Senior/Lead Product Analyst [Antifraud]

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

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