Unsere Kurse nun auch im Münchner Abendzeitung
Unsere Kurse nun auch im Münchner Abendblatt

Since 1998, ARIVA has been ensuring that financial data arrives reliably where they are needed. From now on, this also applies toMunich evening newspaper: Together with gettex, ARIVA provides the data base for the daily market overview in the newspaper.

Among other things, courses and market information can be seenShares, commodities, currencies, interest and cryptocurrencies. For readers, this results in a compact overview of important market movements of the day.

For ARIVA, this is another example of how financial data work in the background. Because price and market data are not only part ofTrading applications, depot views or digital financial portals. They are also used where many people continue to receive their daily information quite classically:in the newspaper.

Since 1998, ARIVA processes and supplies financial dataBanks, brokers, stock exchanges, fintechs, financial portals and media houses. It is crucial not only that data is available. They must be reliably prepared, currently provided and integrated in such a way that they can be used directly in the respective application.

This is exactly what the new cooperation with the Munich evening newspaper shows. ARIVA provides data base for newspapers andthe data supply runs in the background, becomes visible to readers: in the end an understandable market overview.

That behind such applications is not only technology, but above all people, an important point for us. Our team has been developing and operating the technical and technical foundations for the reliable use of financial data for many years. If you want to work on this, you will find several open positions on our career page, including Market Data and IT.

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You’re looking for a new and interesting job?Figurewith us! We are a colorful teamSoftware Engineers, IT-Expert:innen, Verwaltungs- und Marketingexpert:innen, Vertriebsmitarbeiter und Key Accounter:innen. Come to our team and support us in networking our financial data. This allows people to become independent financially independent.