conduct timely, high-quality model validations in line with external regulations, internal policies, and model validation frameworks,
assist the team's seniors to challenge 1st MLoD on their level of model risk,
contribute to preparing validation reports and present findings to committees and stakeholders, ensuring transparency and clarity,
participate in thematic reviews and provide expert advice to internal stakeholders on model risk issues,
support the development and implementation of innovative validation frameworks and contribute to automation initiatives,
collaborate with colleagues across chapters and locations to ensure consistency and share best practices,
support in maintaining constructive relationships with internal teams (Model Development, Risk Management, Audit) and external parties (regulators, auditors),
contribute to continuous improvement by suggesting enhancements to validation processes and frameworks.
Information about the team:
The role naming convention in the global ING job architecture will be "Model Validator III".
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Additional Information
ING Hubs Poland is hiring!
The expected salary for this position: 10 000 - 18 000 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career, we'd encourage you to apply. Should you have questions about the vacancy or need to hear more before you feel you can apply. Please do not hesitate to reach out to the responsible recruiter.
We are looking for you, if you have:
quantitative background, (MSc or PhD degree) in e.g. Econometrics, Quantitative Finance, Mathematics, Statistics, or Physics,
experience (3+ years) in financial risk modelling, model validation, and/or model risk management within banking and/or trading domains (1st & 2nd line of defense),
knowledge of financial engineering, statistics, mathematics, econometrics, and/or probability,
knowledge of pricing models, market risk models (e.g. VaR, sVaR, Expected Shortfall, FRTB) and/ or counterparty credit risk (e.g. SIMM, CVA, PFE calculation),
attention to detail and commitment to delivering high-quality work,
effective communication and stakeholder management skills,
ability to manage multiple priorities in a fast-changing environment,
continuous improvement mindset and openness to innovation.
Ing · Warszawa (pańska 97)