Data Scientist (Risk Modeling)

Location: Remote from anywhere, with overlap during the first half of the business day in Mexico. Relocation support is available to hubs in Mexico, Cyprus, Spain, Serbia, or Georgia.

Company

Works in the financial risk domain, developing quantitative models and analytical frameworks for credit, financial, and operational risk management.

What you will do

• Develop advanced statistical models for credit portfolios at account and aggregate levels.
• Create per-account Net Present Value models and supporting components for credit products.
• Model FX positions, liquidity, reserves, and other balance sheet metrics.
• Build diagnostic, forecasting, and risk models that account for distributions, deviations, and uncertainty.
• Investigate model performance with cross-functional stakeholders and improve decision-making processes.
• Contribute to quantitative methodologies and risk frameworks across credit, financial, and operational risk.

Requirements

• Master’s or Ph.D. in statistics, computer science, mathematics, physics, economics, or a related quantitative field.
• 4+ years of experience in data science, quantitative analytics, risk modeling, or a similar role.
• Strong knowledge of statistical modeling, probability theory, and uncertainty quantification.
• Experience with predictive models, financial or risk datasets, forecasting, classical statistics, and machine learning.
• Strong proficiency in Python or R and statistical libraries such as Pandas, NumPy, SciPy, Statsmodels, or Scikit-learn.
• Ability to independently lead analytical initiatives and explain complex concepts to technical and non-technical stakeholders.

Culture & Benefits

• Remote work from anywhere with required overlap with Mexico business hours.
• Relocation support for employees and their families to hubs in Mexico, Cyprus, Spain, Serbia, or Georgia.
• Healthcare coverage, paid sick leave, and 20 days of annual leave.
• Education budget for language lessons, professional training, and certifications.
• Wellness budget covering mental health and fitness activities.
• Collaborative, feedback-oriented, innovative, and high-tech working environment.