Job Description
The financial world is making huge strides. Changes are taking place in rapid succession. Across the world, ING wants to play a role in these developments. We believe that clever use of data analysis with people who excel in this dynamic domain is crucial in distinguishing ourselves.
For the Finance function this will contribute to for example:
Improving forecasting skills, making it more reliable, robust and flexibel. The core of financial business advice is to empower our internal board / senior managers to stay a step ahead. To fulfill this task we need to propel our current forecasting abilities forward by identifying key drivers to the development of our financials and bringing soft / unstructured data in play. When we start excelling at the predictive side, we also aim to step into the realm of prescriptive analytics aiming for well-developed decision support.
Cost efficiency improvement. An important strategic focus remains on keeping our costs in check. A data scientist can aid in making for example our accounts payable, accounts predictable. Also resource allocation could be an area where a data scientist could add significant value.
Risk and Finance collaboration to reduce risk (costs). The data scientist can help to improve risk models (e.g. prepayment, replication) and help to better detect or predict risks by developing for example advanced network models on how markets/ companies are related or develop early indicators to detect the early stages of a financial crisis or a housing crisis.
Learning a lot and pioneering in dynamic surroundings
As a data scientist you are part of the Finance Business Advice (FBA) team of ING NL. The department of Finance Business Advice is reporting to the CFO of ING Domestic Banking NL and is responsible for providing valuable financial information and advice to the board and senior managers of ING DBNL. There are 50 people working within FBA divided over 6 teams. You will be working closely together with the International Advanced Analytics Team containing a total of 17 specialists. You are working directly with other scientists, but also with financials. You are working in dynamic surroundings where you will drive Finance innovation and new opportunities. The goal of the role is to use new data technologies and analytical methods to solve all kinds of strategic finance questions.
Interesting terms of employment
As a data scientist at ING, this fulltime position (36 - 40 hours a week) offers you an excellent salary and superb fringe benefits. Apart from that, you will be given sufficient development opportunities.
Who are we looking for?
You are an enthusiastic data scientist who achieves the maximum results from initiating and working in projects. You are very socially competent as well as a highly skilled communicator.
Furthermore:
You speak and write the English language fluently. Dutch skills is a nice to have
You have completed a master’s degree with honors in either Econometrics, Mathematics, Statistics or another an analytical field of studies
You have excellent coding skills in R, Python or Java
You have experience in applying Machine Learning and preferably data visualization
You have affinity with the Finance function
Black belt certification, being Scrum/Agile and/or Prince2 certified is an advantage
You have experience with initiating and managing analytics projects
You are a self-starter who loves to explore, define and deliver
You have experience in consultancy, advisory and are able to get quickly to the crux of the matter