Medior/Senior Quantitative Analyst - Model Validation Market Risk (Pricing)

Are you looking forward to the next step in your model validation career? Then we have good news… we are hiring into the new team that is being established in Warsaw!

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious and have “take it on and make it happen” mindset. Keep learning. Take on responsibility and initiative to make things better. In return, we'll back you to professionally develop and provide various opportunities to advance your career in ING.

We are looking for you, if you have:

• quantitative background (MSc or PhD degree) in e.g., Econometrics, Quantitative Methods, Quantitative Finance, Mathematics, Statistics, Physics, or similar field.
• good knowledge of financial engineering, statistics, mathematics, econometrics, probability theory and/or stochastic calculus
• good knowledge of linear and non-linear financial derivatives (e.g., forward, swaps, swaptions), fixed income products (e.g., bonds), investment products (e.g., MBS, ABS) and their pricing using stochastic models
• at least 3 years of experience in quantitative model validation or model development with solid knowledge in the area of Pricing, Trading Risk or generic Market Risk,
• the ability to clearly, concisely, and confidently express complex ideas, facts, and opinions. You can communicate them fluently, logically, and structurally in the English language, both in speaking and writing, and defend them in front of your validation colleagues, model stakeholders, and senior management,
• the ability to identify hidden problems, analyze key information, and form logical connections to find appropriate solutions,
• the ability to work well independently on your tasks as well as with others within the team to reach a common goal,
• the skills and experience in coaching others from content perspective and in giving specific and constructive feedback,
• the interest in your team’s success as much as in your own.

English level: C1

You'll get extra points for:

• a research mindset,
• knowledge of Python and/or C++,
• certificates: FRM, PRM or CQF.

Your responsibilities:

• Perform validation of pricing models, where you critically look at the proposed model, analyze model suitability and its shortcomings, quantify missing risk, develop challenger models, and make final judgement on the quality of the model.
• Lead the relevant validation projects, supervise and coach junior quants, and review their work and reports.
• Communicate and align with the model stakeholders – model owners, developers, and implementors.
• Develop and maintain tools for automation of validation process such as the programming library, which is used for analysis of the models and for asserting of the accuracy of the implementation.
• Write high quality validation reports, discuss your findings with colleagues, front office quants and traders, and higher management. Present your reports at the corresponding committees.
• Perform ad-hoc analyses for acute business needs.
• Learn about the latest developments in pricing models domain.

Information about the team:

The Trading Risk Model Validation Tribe has 40 experts and specialists of various backgrounds split into 3 chapters in Amsterdam and 2 chapters in Warsaw. The Warsaw chapters have 14 validators, which constitute independent teams closely cooperating with all chapters across the whole Tribe.

Our team is part of ING’s global Model Risk Management department, and we are responsible for validating market risk, counterparty credit risk and valuation models for trading books used by ING Group worldwide. 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. We foster a work environment of trust, cooperation, open communications, diversity & inclusion.