ING

Model Risk Manager Non-Financial Risk / Analytics (w/m/d)

In short

This role validates and monitors models in Non-Financial Risk (NFR) / Analytics, including AI models, ensuring they are robust, reliable and compliant with regulations such as MaRisk, EBA/ECB and the EU AI Act. The company is ING Deutschland, and the position sits within the Model Risk Management / AI Governance team in Frankfurt, working closely with model owners, developers and business units. It requires several years of experience in model validation, analytics or data science, programming skills in Python, R or SAS, and good German and English.

About the Role
At ING Deutschland, we weigh a multitude of risks every day and make decisions based on data and models. You keep track of methodology, assumptions and results, and spot risks before they arise. The Model Risk Management team is looking forward to having you.
Your Responsibilities
•You ensure that our models in the area of Non-Financial Risk (NFR) / Analytics deliver on their promise, and validate (AI) models down to the smallest detail. In short: you make sure they perform robustly, reliably and in compliance with regulations.
•You sharply monitor and identify model risks, develop tailored mitigating measures, and support their successful implementation at every step.
•To ensure everyone in Model Risk Management and AI Governance knows what to do, you develop and implement well thought-out policies, standards and processes that work.
•You actively contribute to bank-wide decision-making and governance processes, confidently and competently representing Model Risk, e.g. in the introduction of new products and the structured assessment of risks and controls.
•In all of this, you work closely with relevant stakeholders such as model owners, developers and business units, find solutions together, and contribute to working groups and initiatives.
Your Profile
•Several years of experience in model validation, analytics or data science, ideally within a banking environment
•Good understanding of statistical models and machine learning (including initial experience with (Gen)AI)
•Ability to critically question models (data, methodology, assumptions, results) and derive clear risk assessments
•Ideally knowledge of model governance and regulatory requirements (e.g. MaRisk, EBA / ECB, EU AI Act)
•Relevant programming know-how, e.g. in Python, R or SAS
•Structured, self-directed way of working, strong communication skills and stakeholder management skills
•Ability to think beyond one's own horizon and develop sustainable solutions
•Good German and English, spoken and written
Benefits
•Company pension scheme, capital-forming benefits, free Deutschlandticket & Bike LeasING, company restaurant
•Hybrid working model: in addition to working in the office, you can also work mobile – within the framework of operational, legal and regulatory requirements
•Individual working time models, sabbatical, subsidies for care & childcare costs
•Own budgets for personal development and health, plus a personal equipment budget for your mobile workplace
Application
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