1 geprüfter KI-Job in Baden-Baden

Aufgaben

We are looking for a Risk Analytics Lead (m/f/d) (m/f/d), Join our team at our location in Baden-Baden– flexible working conditions available 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.

The organization is characterized by technology-based rapid learning and decision-making cycles and guided by a strong common purpose to jointly create value for all stakeholders. Strong footprint in DACH/NL & Nordics with further expansion ambition within Europe (example: France, Italy, Spain & UK). The main responsibilities of the Risk Analytics Lead are: 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

Anforderungen

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 You will lead the Risk Analytics team and work in close collaboration with other functions such as Risk Product, Risk Steering, Data Science, Pricing, Financial Controlling, Sales and Operations. The function is reporting into the Risk Analytics & Steering Lead, which is reporting into the global Client Underwriting Lead. The location is flexible, preferred locations are Luxembourg, Germany (Berlin, Verl, Baden-Baden) and the Netherlands (Amsterdam, Heerenveen).

Qualifications What you should bring: You have a proven track-record in data analytics and credit risk management, ideally within a Bank 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 You have 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 You embrace new technology and understand the potential of data and advanced analytics You are a strategic thinker with vision and a strong operator - you get things done Language: English (mandatory); German or Dutch is a plus

Das wird geboten

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Über das Unternehmen

Everyone’s story matters. Come shape your story with us at Riverty. But where does that take you?

To one of our 30 hybrid workspaces – designed for exchanging ideas, learning from others, and shaping the way we work. 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. And there’s more.

We are 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.