Risk Data Scientist

Details

International Card Services (ICS) is a 100% subsidiary of ABN AMRO Bank N.V. with its own independent bank license. ICS is a payment service provider and market leader in issuing credit cards in the Netherlands, with a subsidiary in Germany. We have been issuing, promoting, administrating, and processing payments of Visa and Mastercard credit cards for over 30 years. ICS issues credit cards both under its own brand and in conjunction with co-branding partners, for both consumer and commercial clients.

Working Environment

The culture within ICS can be described as helpful, people-oriented, and service-oriented. Service is in the genes. You work in a dynamic environment, in close collaboration with, amongst others, Client Integrity, business reporting, data hub, and the Data Product Management Team. ICS is located in Diemen, for this job you will be asked to spend two full days at the office but of course there is room for hybrid working.

The organization is currently changing in order to serve customers and the market even better, with the safety and reliability of our services being the cornerstone. We are rebalancing our business model, which means challenging, but exciting times for ICS. Our purpose ‘Carefree Payments’ and our vision and our mission ‘We offer our customers and partners relevant, sustainable and secure payment products’ are at the heart of all our activities. We believe that this sets us apart from other companies. In other words: A solid reason to choose ICS.

As of October 2023, a new governance structure is in place at ICS, introducing the Product, Solutions & Control (PSC) department. This department consists of six interconnected domains that will collaborate closely with all other ICS departments, ABN AMRO, and relevant external stakeholders. You will be working within the Data Office domain, which includes Data Hub, Center of Expertise BI & AA, DPMT, Advanced Analytics & AI, Reporting Client Integrity, and Business Reporting.

Your Job

Are you passionate about risk analysis, credit risk modeling, and eager to contribute to the evolution of risk management within ICS? Do you thrive on discovering innovative risk solutions and implementing them to drive business impact? If so, this might be the exciting opportunity you’ve been waiting for at International Card Services (ICS)! As a Risk Data Scientist, you will play a pivotal role in enhancing the organization's ability to detect and prevent financial crime, developing advanced models to analyze millions of transactions. By identifying potential risks and fraud patterns, you will support ICS in further maturing its risk management framework. Your work will involve close collaboration with teams from Credit Risk Modeling, as part of Products, and the Central Data Office and Risk Management, including data scientists, data analysts, domain experts, and strategists. Through your hands-on approach, you will design and implement AI-driven solutions that optimize risk monitoring, improve operational efficiency, and ultimately safeguard ICS's financial system.

Your focus will mainly be on applying advanced analytical techniques and risk models. By using Databricks and SQL/Python scripts, you will extract valuable information from our Data warehouse, which is essential for steering our strategic decision-making and improving our performance regarding credit risk.

Additionally, you will be responsible for:

• Managing, evaluating, and supporting activities related to the internal credit risk models (PD, EAD, LGD, IFRS 9) and maintaining them throughout their lifecycle.
• Analyzing and improving the quality of data used for risk management purposes.
• Understanding qualitative aspects of the model life cycle such as regulatory expectations and internal governance, translating this knowledge into quantitative capabilities.
• Creating high-quality reports for senior management, CRO staff, model validation, audit, and regulators such as the ECB.
• Participating in meetings with model validation, senior management, internal and external audit, and regulatory bodies.

Your Profile

You have the drive to tackle a wide variety of complex credit risk issues. You enjoy programming in SQL/Python. You are constantly looking to improve yourself and are open to change. You are communicatively skilled, a team player, and see collaboration with others as a given. Additionally, you work in a structured and independent manner and can prioritize requests you receive. You are also not afraid to take the initiative and ask critical questions.

Knowledge and Skills

• University-level working and thinking;
• At least a Bachelor's degree in a quantitative academic background, such as quantitative finance, econometrics, physics, mathematics, or other relevant courses.
• At least 2-3 years of experience in credit risk topics (CRR, IFRS 9, models);
• Proficient in conducting analyses in SQL/Python;
• Experience/affinity with reporting/dashboarding in Power BI and providing insights to business stakeholders (PL-300 certification);
• Affinity with cloud technology is a plus. We use Azure;
• Strong communication skills; ability to effectively communicate with team members and other stakeholders.
• Experience in establishing and implementing credit risk management policies and mandates.
• Knowledge of regulatory requirements related to credit risk management (e.g., CRR III, Basel IV, EBA GL on default definition etc.)
• Proactive and solution-oriented attitude with the ability to handle changes well.

We Are Offering

• The gross monthly salary displayed above is based on a 36-hour work week, including vacation pay and benefit budget (the salary scale will depend on your experience and skills, ranging from Hay scale 10 to 11).
• The Benefit Budget is 11% of your salary, allowing you to acquire additional employment benefits.
• Five weeks of vacation per year, with the option to purchase an additional four weeks.
• Personal development Budget of €1,000 per year, which can be accumulated up to €3,000.
• Possibility to work from home.
• An annual public transport pass with free public transportation throughout the Netherlands.
• An excellent pension scheme.