Market Risk Quant - Model Validation - Specialist (ALM)

REQ-10064123
18/08/2025
Model Risk Management
Warschau, Polen
ING Hubs

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Details zur Stelle

We are looking for you, if you have:

at least 2 years of experience in quantitative risk management. Ideally but not mandatory in quantitative model validation or development in the area of Asset and Liability Management (ALM), Interest Rate Risk in the Banking Book (IRRBB) or generic Market Risk,
good knowledge of financial engineering, statistics, mathematics, econometrics, and/or probability,
quantitative background, (MSc or PhD degree) in e.g. Econometrics, Quantitative Methods, Quantitative Finance, Mathematics, Statistics, or Physics,
the ability to clearly, succinctly, and confidently express complex ideas, facts, and opinions. You can communicate them fluently, logically, and in the English language, both in speaking and writing, supported by appropriate tools (plots, tables, data, etc.),
the ability to identify hidden problems, analyze key information, and form intelligent connections in order to find appropriate solutions,
the ability to work well with others and are invested in your team’s success as much as your own,
a genuine passion for continuously improving.

You'll get extra points for:

a research mindset,
knowledge of Python/SQL/QRM,
certificates: FRM, PRM, CQF, BTRM or CFA.

English: C2

Your responsibilities:

Model analysis
Writing validation reports
Development of tools for automation of validation process
Learning the latest ALM / IRRBB developments

Information about the squad:

We are responsible for validating IRRBB & ALM models used by ING in about 40 countries all over the globe. We cover an interesting, wide, and evolving set of models ranging from highly technical/quantitative to qualitative/expert-opinion based. We specialize in market risk models in the banking book such as behavioral, interest rates, valuation, replication/hedging, and risk measurement. Our core mandate is to address whether a particular model is fit for its designated purpose, based on mathematical assumptions, appropriate business contexts, academic theories, and empirical evidence, and is properly adherent to regulations, best practices, and the latest technological innovations.

The ALM Model Validation Tribe has 50 experts and specialists split into 3 chapters in Amsterdam and 1 chapter in Warsaw. The Warsaw chapter has 15 validators, which constitute an independent team but work very closely with the whole Tribe.

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