Model Developer

Job description

Model Developer Model Developer Bank Wide Market and Operational Risk Economic Capital Team The team Economic Capital ensures ING holds sufficient funds to withstand extreme adverse market scenarios. The Economic Capital Squad within the Model Developer Bank Wide Market and Operational Risk Economic Capital team is responsible for the development of mathematical models to calculate the required Economic Capital for Market Risk, Operational Risk and Business Risk. Next to this, the squad implements these models on MApps, the ING Private Cloud, for locations to use. Finally, the Economic Capital Squad interacts with stakeholders to further improve and explain the workings of the models. Roles and responsibilities As a model developer, you will be working on the development of mathematical risk models. In this particular role your main focus will be on Operational Risk and customer behavioural models. While model development remains a core responsibility of the team, the current focus is increasingly on the effective use of these models within the organisation. Therefore, we are looking for a team member to work on the development of interactive tooling in the MApps environment to disclose information and provide insights into the Economic Capital calculations for users. This means that, in addition to a quantitative background, we are looking for a candidate with experience in working with local entities and other stakeholders, such as the Model Owner, to translate user requirements into interactive dashboards, as well as the skills to implement them in a web-based environment. In order to succeed the following requirements are a must: A quantitative master education Proven Experience as model developer or model owner with Operational Risk Proven Experience as a model developer or model owner with customer behavioural models Proven experience with stakeholder/location management Experience with creating reporting or dashboards for users Experience with object-oriented software development in large-scale systems, beyond standalone (Python) scripts Experience with RUST and parallel computing Proven experience of implementing reports into a web-based environment Additional professional qualifications in the financial risk field such as CFA and/or FRM Knowledge of SQL and databases The following points are considered a plus: Experience with working with information in the ARA environment Understanding of QRM processes and related impact analyses Experience with project management