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ING in Amsterdam is seeking a Front Office Quant Developer with a strong background in quantitative modelling, risk modelling and quantitative finance. You will join a team of about 15 professionals responsible for the development and implementation of quantitative risk models across the full lifecycle.
The role blends mathematics and modelling with programming, using C++ where relevant. A PhD is valued but not required; a ZZP option with hourly rates is available for freelancers.
Amsterdam, Netherlands
For ING in Amsterdam, we are looking for a Front Office Quant Developer with a strong background in quantitative modelling, risk modelling and quantitative finance.
You will join a quantitative team that is currently being restructured following the merger of two teams. The team consists of approximately 15 professionals and is responsible for the development and implementation of quantitative risk models.
This is a role for someone who genuinely enjoys mathematics and modelling. The emphasis is on understanding, developing and owning quantitative models throughout their full lifecycle. Programming is part of the role, but strong quantitative and modelling skills are more important than being a pure software developer.
You will work end-to-end across the model lifecycle, including model development, implementation, testing and documentation.
Your responsibilities include:
Experience with CCR, XVA, Securities Financing Transactions (SFTs) or IMM exposure modelling is particularly interesting, although not all of these areas are hard requirements.
Above all, we are looking for someone with a strong quantitative modelling background. You understand the mathematics behind a model and have preferably developed quantitative models yourself rather than only using or validating them.
You bring:
A PhD in a quantitative discipline is highly valued, but is not stated as a hard requirement.
Experience with C++ is valuable, but not a hard requirement. Likewise, previous trading experience is not required. The focus is on your quantitative understanding and modelling capabilities.
A traditional ALM-focused background is not what we are looking for for this position.
There is no strict requirement regarding the number of years of experience. The quality and relevance of your modelling experience are more important than the number of years on your CV.
Whether you have worked at a large financial institution or in another quantitative environment is also less important than demonstrating that you have actually developed and understood quantitative models.
What do we offer?
Interested?
We would be happy to hear from you.