We are looking for an experienced Data Scientist to join our Risk Analytics team, working on critical decision-making systems.

You will work on end-to-end ML solutions that support key risk processes. The role is strongly focused on production-grade Machine Learning, with increasing emphasis on building scalable, reliable, and explainable models used in daily risk decisioning. Challenges that await you:

Develop and improve ML models for credit application approval and credit limit assignment

Build ML-based decision frameworks and analytical tools for credit portfolio management

Translate business problems (risk, profitability, growth) into data science solutions

Work end-to-end: data analysis, feature engineering, model training, validation, and deployment

Collaborate with product, risk, and portfolio teams to ensure models drive measurable business impact

Continuously improve existing models and pipelines in a production environment

Balance model performance, interpretability, and business constraints

What makes you a great fit

:

4+ years of professional experience as a Data Scientist

Strong, hands-on experience with Machine Learning in production

Proven track record of delivering measurable business impact using ML (e.g. revenue uplift, cost reduction, risk improvement, user growth)





Experience deploying models end-to-end — from idea to production

Solid understanding of classical ML and modern approaches

Mathematical or technical education from the following universities: MSU, MIPT, HSE, MSTU, MEPhI, NSE (preferred)

Ability to explain complex models and results to non-technical stakeholders

Experience in fintech, credit risk, or portfolio management is a strong plus

Our ways of working

Innovative Spirit

A commitment to creativity and groundbreaking solutions

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 date to challenge the status quo of incumbent finances

Our benefits

Relocation support to one of our hubs

— Mexico — with assistance for the employee and their family

Versátil work from one of our offices or remote

Healthcare Coverage

Education Budget

Language lessons, professional training and certifications

Wellness Budget

Mental health and fitness activity reimbursements

Vacation policy

20 days of annual leave and paid sick leave

📌 Senior Data Scientist [Risk] (Cancún)
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📍 Cancún