Senior Data Scientist [Risk]
Location: Worldwide
Department: HQ
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
- 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 Mexico with assistance for the employee and their family
- Flexible work: hybrid or full-time from our office in Mexico
- 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
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