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] (México)
🏢 Plata Card
📍 México