Senior/Lead Product Analyst [Antifraud]
At a glance
Senior Data Analysis & BI role at Plata Card. Mexico.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the antifraud and disputes analytics agenda, covering metrics, dashboards, monitoring, data quality and decision support
- Develop fraud and dispute models from feature creation through production release, validation and ongoing monitoring
- Prioritise risk work with product and engineering, turning fraud challenges into changes across rules, models and operations
- Improve fraud operations with a large team through analysis, automation and process redesign
- Track losses, approvals, disputes, costs and customer friction while managing vendors and building self-service analytics
What you bring
- A technical or mathematics degree from a leading university, plus strong grounding in statistics and probability
- Production experience building and deploying machine-learning models, including feature engineering, validation and monitoring
- Advanced SQL and Python skills, with practical use of Tableau, Superset or comparable BI software
- English at B1 level or above for collaboration across an international team
Who this fits
This senior or lead role suits someone who can set analytical priorities, build production models and turn business needs into technical work. It includes working with a large fraud operations group and collaborating across product, engineering, risk and operations. Relocation support is available for a move to the Mexico hub, including visa and permit assistance for you and your family.
From the employer
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: Annual leave and paid sick leave as per applicable policies
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