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About the Role
We are looking for a Lead for a Risk Analytics team with a strong analytical and hands-on attitude that is keen to have an impact on our risk analytics and related processes by data-oriented insights in terms of external end customer’s solvency / fraud indicators in a balanced risk decision environment. The focus of the team lies on helping our steering teams defining our risk strategy, its (further) development and the constant monitoring and steering according to it. In line with the company's overarching vision to become the most human-centric FinTech, the Risk Analytics team develops appropriate customer risk strategies for different markets and ecosystems.
Responsibilities
- Leading a high-performing team of risk analytics experts in an international setup
- Ensuring that the team uses industry-standard analytics tools and data-driven decision-making to solve complex fraud / solvency risk related problems and support product expansion
- Driving continuous improvement of underlying data analyses, existing business processes and monitoring/reporting, while establishing best practices for ad-hoc and deep-dive analyses
- Providing risk insights for pricing requests and ensuring effective collaboration with internal stakeholders on analytical requirements
- Playing a key role in cross-functional Risk Data Science initiatives and in enabling machine learning based models and advanced analytics for risk decisioning
- Representing the Risk Analytics team in key projects with project responsibility for risk steering related analytics and implementation
Requirements
- Proven track-record in data analytics and credit risk management, ideally within a Bank / BNPL industry / fast-growing payment industry
- Minimum of 3 years of experience in leading (cross-border) teams in a relevant area such as credit risk analytics, ideally in an international, agile, cross-functional environment
- Experience in successfully enabling machine learning-based models and advanced analytics for risk assessment and decisioning
- Expertise in using various programming languages (SQL and Python) to perform complex analytical tasks
- Embrace new technology and understand the potential of data and advanced analytics
- A strategic thinker with vision and a strong operator - you get things done
- English (mandatory); German or Dutch is a plus
Skills
- Data analytics
- Credit risk management
- Machine learning
- Advanced analytics
- SQL
- Python
Location
- Berlin
- Luxembourg
- Verl
- Amsterdam
- Heerenveen
Work Type
- Hybrid
Experience Level
- Minimum of 3 years of experience in leading (cross-border) teams
About the Company
- Riverty is part of the family-owned Bertelsmann group.
- Established. Corporate. In a fast-paced industry.
- We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence.
- In short: shaping FinTech.
- We are an international community of over 4,000 people, representing almost 80 nationalities across 11 countries.
- United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don’t have to worry about it.