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 assignmentBuild ML-based decision frameworks and analytical tools for credit portfolio managementTranslate business problems (risk, profitability, growth) into data science solutionsWork end-to-end: data analysis, feature engineering, model training, validation, and deploymentCollaborate with product, risk, and portfolio teams to ensure models drive measurable business impactContinuously improve existing models and pipelines in a production environmentBalance model performance, interpretability, and business constraintsWhat makes you a great fit:4+ years of professional experience as a Data ScientistStrong, hands-on experience with Machine Learning in productionProven 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 productionSolid understanding of classical ML and modern approachesMathematical or technical education from the following universities: MSU, MIPT, HSE, MSTU, MEPh I, NSE (preferred)Ability to explain complex models and results to non-technical stakeholdersExperience in fintech, credit risk, or portfolio management is a strong plusOur ways of working:Innovative Spirit:A commitment to creativity and groundbreaking solutionsHonest Feedback:valuing open, transparent communicationSupportive Team:a strong, collaborative communityCelebrating Achievements:recognizing our wins togetherHigh-Tech Environment:a team full of smart and revolutionary people who date to challenge the status quo of incumbent financesOur benefits:Relocation support to one of our hubs— Mexico — with assistance for the employee and their familyFlexible workfrom one of our offices or remoteHealthcare CoverageEducation Budget:Language lessons, professional training and certificationsWellness Budget:Mental health and fitness activity reimbursementsVacation policy:20 days of annual leave and paid sick leave

📌 Senior Data Scientist [Risk] (Heroica Puebla de Zaragoza)
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📍 Heroica Puebla de Zaragoza