Expert in Quantitative Methods

6 maanden geleden


Amsterdam, Nederland ING Voltijd

**ING is looking for Financial Risk Modellers **that have a strong affinity with Credit Risk Modelling within the Financial Risk Model Development department. It is is an energetic international department of over more than 100 highly qualified professionals, who are determined to develop the best possible financial risk models to empower the customers of ING to stay ahead financially, in life and business. The expertise of the department lies in the development and management of all regulatory and non-regulatory Credit Risk, Market and Trading Risk, Operational Risk and Asset and Liability Management models with state-of-the-art modeling methods, tooling and data processing technologies. These models are core to the success of ING and they are applied for different purposes, amongst others to determine the exposure measurement, capital adequacy and the management thereof. Does it sound interesting? Please read on

**The team**

The Quantitative Methods Team is a dynamic team of highly qualified professionals within Financial Risk Model Development. The core task of the team is the development and maintenance of methodologies for the models in the scope of the department. These methodologies cover model development, model monitoring and model data gathering and consumption, and form the technical base for the work done in the department. The position offers excellent opportunities to take your model development skills to the next level.

**Roles and responsibilities**
- Together with your colleagues, you will play a crucial role in enabling the development and maintenance of models for measuring and managing risks, as well as guiding and advising model development colleagues
- Together with your colleagues, you will play a crucial role in the further development and maintenance of financial risk models, assuring compliant methods in line with all regulatory updates, as well as steering and advising the front office colleagues when taking Financial risk decisions
- You will help in setting up methodology related aspects in the scope of the team
- You will define and implement bank-wide credit risk modelling methodology, with a specific focus on regulatory Internal Ratings Based models
- You will be involved in support of development teams, of automation tooling for model development and monitoring, and requirements for data delivering stakeholders
- You will contribute with your expertise to regulatory and internal projects

**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.
- MSc degree or PhD in e.g. mathematics, physics, econometrics
- Experience with development of (credit) (risk) models
- Excellent knowledge of statistics and/or mathematics
- Excellent knowledge of programming, preferably in SAS, SQL, Python, R
- Vast Experience with risk modelling
- Knowledge of banking and financial industry, financial and lending products, and processes
- Experience in being a sparring partner/advisor to senior management
- You have strong analytical and problem-solving execution skills
- You are an independent, creative and pro-active mind-set
- You have organizational skills to work in a structured way and maintain focus on the broader picture
- You have a focus on delivering pragmatic and feasible solutions
- Fluent English language skills
- You are keen on delivering new approaches by a research-oriented attitude
- You have skills to effectively communicate with stakeholders (with non-technical background)

**Rewards and benefits**
- A salary tailored to your qualities and experience
- 24-27 vacation days depending on contract
- Pension scheme
- 13th month salary
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- 8% Holiday payment
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues

**Questions?**

Please note, multiple interview steps involving various business stakeholders will be part of the selection process

**About us


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