Internship - Financial Markets - Quantitative Analytics

The Work Environment

Financial Markets (FM) is the Bank’s gateway to the professional markets around the world. Our primary function is to service the needs of ING’s clients with products, services and guidance. FM aims to be a significant player in our market leader and challenger markets, with an additional presence in all the major international markets and specialist expertise in selected emerging markets and products.

The Team

The FM Quant team is a global team within the FM organization that provides quantitative expertise required to price and risk manage derivatives products. The main tasks of the team are in the area of model analytics and development.

The team based in Amsterdam consists of about 65 professionals that develop pricing and risk models that are used globally by different trading locations and risk departments. We are closely interacting with IT DevOps engineers In integrating to libraries into Front and Back-Office systems.

Roles and Responsibilities

• You work under the guidance of experienced team members on a topic at the interface of academia and industry with a focus on computational, data-driven and/or mathematical methods for pricing and risk modelling of derivatives portfolios.  
• Develop mathematical, statistical, and/or data-driven methodologies to address the research question. 
• Implement and test quantitative models using Python and appropriate numerical techniques. Work with financial and market data for model calibration, empirical analysis, and validation. 
• Perform sensitivity analyses, benchmarking, and robustness checks to assess model performance and limitations. Analyse the implications of modelling assumptions for pricing, risk measures, hedging, and/or capital. 
• Discuss your approach and results with experienced quantitative analysts and incorporate their feedback throughout the research. Document your methodology and findings in a master’s thesis and present the results to the team. 

How to succeed

• During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders). 
• Current enrolment in a relevant master's program, such as Quantitative Finance, Computational Science, Mathematics, Computer Science, Information Systems, Econometrics, Business Analytics, Risk Management or a related field  
• Strong analytical and quantitative skills, with the ability to translate complex financial or mathematical problems into structured quantitative analyses. 
• Strong programming skills in Python, with experience in numerical computing and data analysis. 
• Clear written and verbal communication skills, attention to detail and confidence working with stakeholders from different disciplines 

Rewards and benefits

A stimulating environment with a strong team consisting of quantitative analysts and developers who are working closely on the development of pricing and risk infrastructure in close collaboration with users from trading, sales and risk management departments.

You’ll also benefit from: 

• Internship allowance of 700 EUR based on 36 hours work week
• Your own work laptop
• 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

During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).

Interested?

Please apply directly online – click on Apply for this job.

About our internships

Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship).

Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking – put simply, it’s a great start to your career.