Credit Card Risk Team:
Challenges that await you:
- — Building ML models for scoring
- — Reporting development (SQL + Tableau)
- — Support of senior analysts
- — Finding ways to improve the current strategy based on data
What makes you a great fit:
- Good knowledge of mathematical statistics and econometrics
- Experience with Python and ML libraries
- Good understanding of basic concepts in machine learning
- High communication skills
- Analytical and systematic thinking
- Mathematical or technical education from the following universities: MSU, MIPT, HSE, MSTU, MEPhI, NSE (preferred)
- Participation in reputed olympiads in mathematics, economics, physics, computer science (preferred)
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 with full visa & permit support to the employee and family
- Flexible 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
The Credit Card Risk team is dedicated to managing credit card risk and profitability. We develop credit card risk decision making (origination, CLIP) and collection strategies
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