Senior Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Fintech): Building and optimizing ML models for credit application approval and credit limit assignment with an accent on production-grade ML and explainable risk decisioning. Focus on developing decision frameworks for credit portfolio management and translating complex business risk problems into scalable data science solutions.
Location: Hybrid or onsite in Mexico; relocation support available
Company
Fintech company focused on challenging the status quo of incumbent finances with innovative and revolutionary solutions.
What you will do
- 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.
- Manage the end-to-end ML lifecycle: data analysis, feature engineering, model training, validation, and deployment.
- Translate business problems related to risk, profitability, and growth into technical data science solutions.
- Collaborate with product, risk, and portfolio teams to ensure models drive measurable business impact.
- Continuously optimize existing production models and pipelines for performance and interpretability.
Requirements
- 4+ years of professional experience as a Data Scientist.
- Hands-on experience deploying ML models into production environments.
- Proven track record of delivering measurable business impact (e.g., revenue uplift, risk improvement).
- Technical education from recognized universities (e.g., MSU, MIPT, HSE, MSTU, MEPhI, NSE).
- Ability to explain complex model results to non-technical stakeholders.
- Must be based in or be able to relocate to Mexico.
Nice to have
- Experience in fintech, credit risk, or portfolio management.
Culture & Benefits
- Relocation support to Mexico for the employee and their family.
- Flexible work arrangements: hybrid or full-time from the Mexico office.
- Comprehensive healthcare coverage.
- Dedicated budgets for education (language lessons, certifications) and wellness (mental health, fitness).
- 20 days of annual leave and paid sick leave.
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