ING
Cross Model Analytics Model Developer
CDR (Amsterdam - Cedar)
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Country
- NL
- Work mode
- On-site / unstated
- First seen by hirly
- 6 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
As a Cross Model Analytics Model Developer, you will be responsible for coordinating the model development and maintenance environment for non-IRB credit risk models related to Wholesale Banking, including feeder models, IFRS9, and Economic Capital. You will translate business needs and regulatory requirements into a dedicated approach across all Model Life Cycle (MLC) steps, while safeguarding the model environment from exogenous impacts and ensuring consistency in design approaches.
The team
The Bank-wide Credit Risk Models department is responsible for the management of Wholesale Banking (WB) IRB and IFRS9 models, as well as the Bank-wide Credit Risk Economic Capital models, including their development, monitoring, and advisory support to the business in cooperation with relevant stakeholders.
All models in scope are group-wide, managed and developed centrally, and consistently applied across all ING locations.
Roles and responsibilities
In this role, you will contribute to the development, maintenance, and governance of the Wholesale Banking credit risk model landscape.
- Translate business and regulatory requirements into a dedicated approach for specific Wholesale Banking models.
- Analyse end-to-end design approaches at model and model-component level throughout the model life cycle procedure.
- Ensure compliance of model designs while considering model environment requirements that may impact robustness and performance.
- Participate in and actively steer stakeholder meetings involving contributors across all stages of the model life cycle procedure.
- Engage with external stakeholders as a senior modeler to understand model and model-environment deficiencies and identify improvement opportunities.
- Explain and defend model design choices to internal and external stakeholders.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
- University / Postgraduate (Master's Degree) in Mathematics, Economics, or equivalent.
- 3+ years of experience in Credit Risk Modelling.
- Risk Management certification and/or SAS programming certification focused on Credit Risk Modelling.
- Strong analytical and strategic thinking capabilities.
- An inquisitive, out-of-the-box mindset with a strong risk management focus.
- Technically mature credit risk modelling skills.
- Strong communication skills, both internally and externally.
- Ability to translate complex topics into simple and understandable language.
- A “make it happen” mentality with a proactive approach.
- Broad knowledge of the end-to-end regulatory credit risk model lifecycle, including IT, data, model and policy development, and regulation, with the ability to identify, assess, prioritise, and manage model risks.
- Strong learning mindset and willingness to champion exploration and innovative approaches.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
- 25-28 vacation days depending on contract
- Pension scheme
- 13th month salary
- 8% Holiday payment
- Hybrid working
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
About us
- Curious about how ING empowers people and businesses to move forward?
- Discover what we do and what we can offer you
Questions
Please visit our Frequently Asked Questions section to find some answers on questions you might have.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Listed on hirly, a job board. hirly is not the employer: ING is hiring for this role.
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