Credit Risk Model Validation Internship

Are you interested to see how credit risk models and lending works in practice? Do you like solving complex quantitative questions and challenges? Are you a star in Python code, or would you like it to be? Does learning energize you as much as educating others?

ING’s global Model Validation Credit Risk (CRMV) Tribe is looking for you as our next intern.

We are hiring student(s) to do a thesis or working internship with us:

• As a working student you will support us in our business-as-usual operation. This includes a variety of activities:
• Develop our validation tools in Python or SAS.
• Create, support & improve our validation frameworks & standards.
• Provide support to the model validators on on-going validations.
• As a thesis intern you will write your MSc thesis on a challenging quantitative subject relevant to you and to ING. We will provide you with a case description and data, guide you through your research, and share our expertise with you on the content.

During both internships, you will work closely with one or more senior members of our team. By doing so, we hope to make your internship a great success. If possible and desired by you, we might even extent this into the start of your career here at ING. This could be in the form of a part-time role in the department during the rest of you studies or a full-time role as a Junior Model Validator for example.

About us

The CRMV Tribe is an international team of around 40 highly qualified professionals of various quantitative backgrounds, working in four chapters. We are responsible for validating the regulatory advanced IRB models (PD, LGD, EAD), IFRS provisioning models, Stress Testing, Economic Capital as well as a wide variety of credit decision making models such as acceptance scorecards, transactional ML models and EWS within ING. During our validations we independently assess whether the models are fit for purpose and use. We work partially at the head office in Amsterdam and partially remotely at home.

About you

• Good academic record with above-average grades.
• Pro-active and can-do attitude (self-steering).
• A quantitative background, i.e. BSc or MSc student in e.g. (Financial) Econometrics, Financial Mathematics, Quantitative Financial Economics, Mathematics, Statistics, Finance etc.
• You are currently enrolled at a university
• Good English writing skills, you are accurate and skilled at drafting reports.
• Knowledgeable with Python coding, or willing to learn.
• Available for 6+ months as working student or 3+ months as thesis intern.
• You have a keen interest to learn more about banking and credit risk modelling.

What we offer

• A monthly payment of 700 euros for a 36-hour workweek
• Reimbursement of travel-costs during your internship
• A great learning environment
• The opportunity to work with a highly skilled and experienced team of professionals.
• A dynamic and international team in an innovative and expanding working environment.
• Flexibility to work from home and the office in Amsterdam.
• Time and support for your personal development.
• A steep learning curve to kick-start your career.
• Informal and positive atmosphere.