As part of the team, you will help shape how ABN AMRO steers on the risks that matter. You will translate complex, bank-wide risk inputs into concise insights, clear narratives and practical actions for senior stakeholders, while performing a challenger role in discussions on change initiatives and strategic decisions. This role is for someone who can structure problems, align people, make decisions under pressure and execute improvements from idea to implementation.
Your impact will be clear and tangible: you will help senior leaders see the risks that matter, understand what needs to change and make better-informed decisions for the bank.
Our ambition is to centralise and modernise risk reporting, creating a more consistent, data-driven and forward-looking view of risk across the bank. Your work will help the bank move from fragmented reporting to clearer, faster and more forward-looking risk insights, enabling senior leaders to take timely action on the risks that affect our clients, our business and society.
We are looking for a pragmatic change professional with experience in consultancy or financial services who can combine analysis with delivery. You will work with Risk, Finance, Data and business stakeholders to standardise definitions, improve data quality, automate recurring steps and pilot AI-assisted ways of working. You bring curiosity about AI, but more importantly, the ability to implement change responsibly, bring stakeholders along and embed improvements that last.
Key responsibilities:
- Challenge and influence strategic decisions: bring a risk perspective to change initiatives and strategic decision-making, challenge assumptions constructively, and ensure that key risks, trade-offs and implications are clearly understood before decisions are made.
- Create clarity from complexity: structure complex risk topics, translate data and expert input into clear insights, and create concise narratives for senior decision-making.
- Turn discussion into decisions: manage stakeholders across Risk, Finance and business domains, align different perspectives, resolve open questions and agree on practical next steps under time pressure.
- Improve execution and ownership: drive improvements in reporting products and processes, including standardisation, data quality checks, automation and clearer ownership.
- Move from manual effort to smarter delivery: identify practical opportunities to use data, automation and AI-supported analysis to improve speed, quality and consistency while maintaining controls, transparency and human judgment.
- Embed change that lasts: design, test and implement reporting improvements that are standardised, scalable and accepted by the people who need to work with them.
