ALM Internship: Quant Analytics & Risk (Hybrid)

Van Lanschot Kempen; Amsterdam; Hybrid; EUR 4,500 - 6,700; Part time

Benefits offered by this job

Internship allowance

Mentorship and training on the job

Hybrid work environment

Excellent career opportunities

Job summary

Van Lanschot Kempen is offering an Asset & Liability Management Analyst internship in Amsterdam for 3–6 months, starting February 1, 2026. The role is part-time (16–32 hours per week) to align with your studies and is embedded in the CFO domain within ALM.

You will work with in-house models and data infrastructure to support balance sheet management. You will gain hands-on experience in quantitative risk management, financial planning and analysis, and bank strategy, with mentorship and

Qualifications

• Final phase of Bachelor- or Master’s degree in Economics, Finance, Econometrics or equivalent.
• Experience with quantitative analysis and MATLAB, Python or R.
• Affinity with the banking sector and an interest in our products and clients.
• Advanced English language ability.

Responsibilities

• Drafting the monthly report to the Asset & Liability Committee of the Management Board.
• Improving ALM infrastructure, such as automatically refreshing daily interest rates or creating a dashboard that tracks developments in client savings deposits.
• Contribute to ALM model development, for example our model that estimates the probability that clients will prepay part of their outstanding mortgage balance before the contractual end date, or our model that estimates whether clients will withdraw their savings deposits.

Skills

Quantitative analysis

Data analysis

MATLAB

Python

R

English (Advanced)

Education

Bachelor's or Master's in Economics/Finance/Econometrics

Tools

MATLAB

Python

R

Job description

Van Lanschot Kempen is offering an Asset & Liability Management Analyst internship in Amsterdam for 3–6 months, starting February 1, 2026. The role is part-time (16–32 hours per week) to align with your studies and is embedded in the CFO domain within ALM.

You will work with in-house models and data infrastructure to support balance sheet management. You will gain hands-on experience in quantitative risk management, financial planning and analysis, and bank strategy, with mentorship and