- Location
- Amsterdam
- Employment
- Full time
- Posted
- 5 November
About this role
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Credit, IRRBB and capital models sit at the heart of how a bank measures its own risk. Mollie already uses models in day to day processes, but nobody challenges them independently from a second line perspective yet. As Model Risk Officer, you'll help build the second line model risk function that gives Mollie, and its regulator, confidence that models can be trusted before they're used.
This is a true 0 to 1 role. Mollie isn't a bank today, so there's no model risk framework, validation methodology or model inventory to inherit. You'll design the policy, validation approach and governance from scratch, starting with the credit, IRRBB and capital models already in design for our future capital and liquidity planning. Your work feeds into our licence application and, once authorised, into how we manage model risk every day.
You'll also work with our Machine Learning team and the Domains already deploying models, so you can shape how we manage model risk today, not just in a banking future. Your challenge and sign off will be visible to senior leadership, audit and, eventually, our regulator. As Mollie grows and matures its model risk management, your scope grows from building the framework to running an ongoing model risk cycle.
What you'll ship
Build and own Mollie's model risk management framework and policy, including model risk appetite, validation standards and the model risk lifecycle.
Set up and maintain the model inventory for credit, IRRBB and capital models, with materiality and risk tiering for each.
Coordinate independent second line validation and challenge before models are used, including credit risk and ECL, IRRBB, and Pillar 1 and Pillar 2 capital models.
Design the ongoing monitoring and re-validation cycle with the Machine Learning team, covering performance testing, limitation tracking and re-validation triggers.
Partner with model owners in Credit Risk and Treasury ALM, and coordinate within the second line Risk function, so model risk challenge is built into the wider risk and capital frameworks.
Coordinate clear, well documented validation reports and model risk information that stand up to scrutiny from DNB/ECB, external auditors and internal audit.
What you'll bring
Around 5 to 7 years of experience in model risk management or model validation within a bank, preferably across at least one of credit, IRRBB and capital models.
Solid working knowledge of ECB model risk expectations and how model validation should be structured and evidenced.
Comfort building a model risk framework and validation approach from the ground up. You're excited to write the first playbook.
Strong quantitative skills to critically assess model methodology, assumptions and performance, and the discipline to document your findings so others, including a regulator, can follow them.
The ability to explain model limitations and validation findings to model owners and senior stakeholders, and the confidence to hold your ground under challenge.
Genuine curiosity about how AI can speed up the parts of model validation that don't need a human, so more of your time goes toward judgement and challenge.
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
Want a peek behind the scenes? Check out what life at Mollie is really like.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
As published by Mollie. Applications are handled on their site.
One click, then it is written
Apply to Mollie with a resume written for this role.
Queue Model Risk Officer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Mollie’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.
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