Danique

DNB trainee

Climate Econometrics

I studied econometrics, specialising in Data Science and Climate Econometrics: lots of mathematics and statistics applied to economics or other fields. Econometrics is about identifying relationships such as correlations or causalities. For example, that you sell more ice cream on a hot day. But then, of course, with much more complex issues. I really enjoy the quantitative side of things. I wrote my thesis for the World Bank about the spillover effect of deforestation in the Amazon. After that, I was planning on doing a Master’s in Economic Policy, but then I thought: I can also work at DNB, because they make economic policy. At DNB, I can combine my enthusiasm for econometrics with a social purpose. That’s exactly what I was looking for in a job.

Data Science

My background means I can work in many different DNB departments. A lot of data is available from the supervision we conduct of institutions, but economic policies, forecasts and economic projections are also underpinned by figures. This traineeship allows me to explore what I can contribute with data analytics. My first placement is with the department overseeing the pension transition. That involves €1,500 billion that needs to be allocated evenly in the new system between the elderly, the young and everything in between. I am looking at how we can use Data Science to digitise some of the supervision of the pension transition.

At DNB, I can combine my enthusiasm for econometrics with a social purpose.

Lightning-fast development

My team is monitoring the transition process at various pension funds by using surveys. We turn the results into data visualisations. I am working on a model for detecting outliers: survey responses that fall outside patterns and may indicate risks. I am also in charge of another project to make the work of supervisors easier. I’ve noticed that I am developing very quickly. When I started six months ago, I knew absolutely nothing about the pension transition and now I am mentoring university students on the topic. I’m not a natural-born leader, but in this role I’m starting to get the hang of project management. It’s clear that I am being challenged to grow and develop in a variety of areas.

Prediction models

In my next placement, I would like to join an expert team where I can learn from people doing data analysis on the Dutch economy, financial markets, banks or insurers. And it’s my dream to eventually join the Economic Policy and Research Division, where I can see and experience how economic policy is made using data. For instance, there is an Econometrics and Modelling department, where they also make the DELFI model – an important model for creating projections for the Dutch economy. I would like to look into optimising that model, based on earlier assumptions and the quality of the outcomes. And if I can also combine that with Climate Econometrics, I’ll be absolutely over the moon!

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