21 день назад
Risk Data Scientist (Fintech)
45 000 - 50 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Risk Data Scientist (Fintech): Developing credit risk and fraud models, portfolio analytics, and BI reporting for BNPL and lending products with an accent on loss forecasting, approval-rate monitoring, and risk governance. Focus on scenario analysis, stress testing, IFRS9 provisioning, and translating complex risk data into decisions for leadership, auditors, regulators, and investors.
Location: Milan, Italy
Salary: €45,000–€50,000 gross annual salary
Company
is a fintech company developing BNPL and lending products in a fast-moving, technology-driven environment.
What you will do
- Develop, implement, and maintain credit risk and fraud models across the BNPL and lending portfolio.
- Build analytical tools and scalable BI dashboards to identify risk and loss drivers.
- Monitor approval rates, fraud and credit performance, recovery trends, and portfolio projections.
- Automate risk models and reporting for leadership and stakeholders.
- Partner with Finance, Payments, Product, and Risk teams on losses, profitability, pricing, provisioning, and risk-adjusted returns.
- Support risk governance through scenario analysis, stress testing, data integrity, and regulatory reporting.
Requirements
- Master’s degree in Finance, Economics, Statistics, Data Science, or a related field; an advanced degree is preferred.
- 4+ years of experience in risk management, data science, or risk modelling, preferably in fintech, BNPL, consumer lending, or advanced analytics consulting.
- Proven experience developing loss risk models and reporting processes.
- Proficiency in SQL, R, Python, and AI for analytical and modelling work.
- Strong analytical, problem-solving, communication, and ownership skills.
- Excellent written and verbal English is required.
Culture & Benefits
- International environment with significant daily challenges.
- Opportunities to work with technology leaders on products focused on user experience.
- Personalised support for professional growth and ownership of delivered products.
- Access to the latest technologies and encouragement to bring individual expertise to the role.
Hiring process
- Initial conversation with the Talent team.
- Interview with the Hiring Manager followed by a case study.
- Final conversation with the CEO.
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