Advanced Analytics DevOps Engineer. Hadoop, Hive, Java, Python - International!Playing a lead role in data analysis within international banking.
Do you want to have a lead role in data analysis developments that break new ground in banking? Do you aspire to a position in an international team? Then, apply at the Advanced Analytics Team 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 changes. We believe that clever use of data analysis with people who excel in this dynamic domain is crucial in distinguishing ourselves:
- Deepening customer knowledge. The core of our existence is to empower our customers to stay a step ahead in life. To fulfill this task we need to improve our ability to better identify the needs of our customers.
- Asset generation. An important strategic theme introduced with our new strategy is consumer and SME lending in the challenger and growth markets. The team can help with improving/ developing prediction models/ solutions (leads/ acceptance/ management/ arrears).
- Risk reduction. The team can help to improve risk models 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.
- Operational excellence. Flawless execution and easy access to our services for customers is key. The team can help to improve service levels and lower costs for ING.
- Breakthrough data analytics innovations. Where possible the team will also try to focus on breakthrough data analytics innovations for ING. For example helping people when they buy a house on future value development and or time to sell. Or helping people to detect online scams by giving a confidence rating if they want to do business with someone, like scam advisor does.
Learning a lot and pioneering in dynamic surroundings
As an Advance Analytics DevOps Engineer you are part of the Advanced Analytics Team containing a total of 13 specialists. You are working directly with blackbelts, data scientists and other DevOps Engineers; partly highly experienced, partly less experienced. The team works from for all ING divisions worldwide. You are working in really amicable and dynamic surroundings where we spend each day working on innovation and new business opportunities. The team’s goal is to use data technologies to solve all kinds of strategic business questions, in order to anticipate the desires, needs and interests of our customers even better.
Interesting terms of employment
As an Advance Analytics DevOps Engineer at ING, this fulltime position (40 hours a week) offers you an excellent salary and superb fringe benefits. Apart from that, you will be given sufficient development opportunities, both locally and internationally, and you will be entitled to support in the event of any relocation from abroad.