
Internship - Financial Markets - Quantitative Analytics
€8,400 per year
Key Skills
Job Description
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.
Core Responsibilities
You will develop and implement mathematical and data-driven models for pricing and risk management of derivatives portfolios. Additionally, you will perform model calibration, sensitivity analysis, and document your findings in a master's thesis.
Requirements
Candidates must be currently enrolled in a relevant master's program at a Dutch or EU university. Strong analytical skills and proficiency in Python for numerical computing are required.
Benefits
- Internship allowance
- Work laptop
- Hybrid working
- Personal growth opportunities
About ING
Industry: Banking
Company size: 10,001+ employees
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers