Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 3
SQL @ 3
Communication @ 3
Reporting @ 3
Agile @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Market Risk Management of ING
We are responsible for managing the balance sheet of ING NL. We do this by hedging our Interest Rate and Liquidity risks in close cooperation with Group Treasury. We maintain close relations with our business stakeholders, advise them on product and pricing changes and make them aware of all relevant (macro-economic) trends and consequences.
Team
We use state-of-the-art risk and client behavior modelling methods and technologies to explore, analyse, and leverage data. The department consists of an energetic team of ca. 30 highly qualified international professionals. We have an Agile way of working and believe that empowerment is crucial for you to be successful.
Responsibilities
- Work in the MRM team that models customer behaviour.
- Assist in maintaining and improving risk models and methodologies used within the Asset & Liability Management (ALM) framework, including behavioural models for assets and liabilities and scenario-based analyses.
- Prepare, analyse, and enhance risk reports used for internal risk steering and regulatory purposes (e.g. ALCO, IRRBB reporting, liquidity metrics), ensuring data consistency and transparency.
- Develop and improve data-driven solutions (e.g. Excel, SQL and Python) to support risk measurement, reporting automation and migration to target risk systems.
- Perform ad-hoc quantitative analyses to support decision-making on market risk topics such as interest rate scenarios, balance sheet sensitivities and customer behaviour impacts.
- Support the model lifecycle activities, including model monitoring, documentation and implementation improvements, in line with ING’s model governance framework.
- Translate quantitative outputs into clear insights for stakeholders to strengthen the link between modelling, risk measurement and business decisions.
- Support second-line risk activities, including challenging assumptions, assessing model outputs and contributing to risk governance and control processes.
- Collaborate closely with stakeholders across Treasury, Finance, Risk and the business to gain insight into how ING manages its balance sheet and market risks in practice.
Requirements
- Dutch university Master (MSc) student in Econometrics, Economics or other Finance/quantitative degrees.
- Self-starter, result-driven and flexible with a hands-on attitude.
- Keen interest in Financial Markets, financial instruments and Market Risk.
- Strong analytical skills with attention to detail and critical thinking.
- Good IT skills (PowerBI, SQL). Python is referenced as part of data-driven solutions.
- Excellent written and verbal (English) communication skills.
- Available for at least 5 months.
- During the internship it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).
What we offer
- An internship of up to 36 hours per week for the duration of 5 months with a possibility to extend to a maximum of 10 months.
- The position offers excellent opportunities to get acquainted with Market Risk / Asset & Liability management and data analytics competencies while working on your soft skills.
- A step towards an international career at ING with a quantitative basis.
Rewards and benefits
- Internship allowance of 700 EUR based on a 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.
Additional information
- Please upload your CV and motivation letter by clicking the ‘Apply’ button.
- Every year, more than 350 students join our internship program. Many former interns move into permanent roles or onto the International Talent Programme (traineeship).
More jobs at ING
Intern – Global (Lending) Portfolio Management Transformation
ING · Amsterdam, Netherlands
EUR 8,400 per year
Cards Product Expert
ING · Milan, Italy
EUR 39,000 per year
AI & Finance Transformation Intern
ING · Amsterdam, Netherlands
EUR 8,400 per year
Internship Digital Content Expert
ING · Amsterdam, Netherlands
EUR 8,400 per year
Internship – HR Talent & Learning - International Talent Programme
ING · Amsterdam, Netherlands
EUR 8,400 per year
Similar jobs
Data Scientist Transaction Banking
ABN AMRO · Amsterdam, Netherlands
EUR 61,300-87,600 per year
Product Manager - Corporations Strategy, Enterprise Data
Bloomberg · New York City, United States
USD 140,000-295,000 per year
Internal Audit Data Analytics Lead
Stripe · South San Francisco, United States, Toronto, Canada, New York City, United States, Chicago, United States
USD 153,600-230,400 per year
Senior Back End Engineer
ABN AMRO · Amsterdam, Netherlands
EUR 61,300-87,600 per year
Analytics Engineer, Employee Technology Support
Bloomberg · New York City, United States
USD 110,000-130,000 per year
Marketing Scientist
OpenAI · San Francisco, United States, New York City, United States
USD 198,000-220,000 per year
Product Analyst - Facilities And Capital Projects Management
Bloomberg · New York City, United States
USD 140,000-180,000 per year
Revenue Analytics Manager
GitLab · United States, Canada
USD 126,400-213,600 per year