Senior ALM Model Developer
The team
The ALM Modelling team consists of 35 professionals, based in Amsterdam and Warsaw. The ALM Modelling team is part of the Model Development department within Integrated Risk consisting of over 300 professionals. We are determined to advise our business stakeholders to empower the customers of ING to stay ahead financially, in life and business. Client behaviour is crucial to us and we use state-of-the-art modelling methods and technologies to explore, analyse, and leverage data. The position offers excellent opportunity to broaden your ALM management, data analytics and modelling competencies while working on your soft skills by advising our stakeholders.
We have an agile way of working and believe that empowerment is crucial for you to be successful.
Roles and responsibilities
We are looking for a colleague who wants to develop a successful career in Modelling and Risk Management. You will become responsible for developing models that are deeply integrated in our business model (pricing, hedging, funding) and have impacts across global balance sheet (Net Interest Income, Economic Value and Capital Requirements). The ALM models cover global customer lending products (e.g. mortgages, Wholesale Banking, mid-corps and SME Lending) and global customer deposits products (current accounts, savings).
This role is within the team focusing on behavioural modelling for Liabilities such non-maturing deposits (NMDs) including savings and current accounts as well as developing regulatory models for NII and EVE Supervisory outlier tests ( SOTs) and EBA Stress testing exercise. Your main task is to ensure ALM models lead to a stable Net Interest Income and accurate capital requirements. The models are largely dependent on client behaviour, so you will monitor and model the behaviour and spot emerging trends using big data analytics. Because ALM models are deeply integrated in ING a lot of stakeholders are involved. That is why a good mix of planning, stakeholder management, convincing and technical skills are important for us. Moreover, as ALM models are supervised by regulators, knowledge of regulatory developments is a must.
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.
- An academic degree (MSc or PhD) in a quantitative field such as Econometrics, Mathematics, Engineering & Physics.
- Finished additional professional qualifications in the financial risk field such as CFA, FRM, or the willingness to do so.
- Relevant experience in the financial sector (e.g. banking, insurance, consulting) within IRRBB domain.
- Relevant experience of modelling NMDs and familiarity with regulatory reporting requirements for Banking Books
- Strong quantitative skills and being able to put them into practice using programming languages such as Python
- Proven track record to make high quality deliveries (e.g. memos, presentations, technical modelling documentations, analysis, code) within set timelines
Additionally, you should have
- Excellent analytical skills with a strong attention to detail
- The ability to challenge the status quo
- Great team player skills
- And of course you should be fluent in English
