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

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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)

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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

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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

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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