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Working Student (m/f/d) Quantitative development
Solactive · Berlin
Publicada em 22/09/2026
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Company DescriptionSince its creation in 2007 in the financial city of Frankfurt am Main, Solactive AG has grown to one of the key players in the indexing space. The German multi-asset index provider focusses on tailor-made indices, offering to its clients a faster service, with greater flexibility and at a reasonable cost. Solactive AG and its subsidiaries have become one of the fastest growing index providers over the past few years and support the leading investment banks and asset managers across the globe. We have gained global recognition for our role in the Exchange Traded Fund (ETF) industry, where we rank among the top providers worldwide for underlying indices. We also excel in diverse areas such as Structured Products and investment mandates, showcasing the wide range of our capabilities. The impact and value we bring to the market is palpable, but also in the reputation we have proudly built by being close to our customers, solidifying Solactive AG as a trusted and reliable ally in the ever-evolving global financial landscape.Job OverviewWe're the quantitative software development and core technology team in Berlin, building Solactive's indexing platform and maintaining our index calculation and publication engine.You're excited about financial markets and instruments like ETFs, bonds, and swaps. You enjoy programming and building software on a modern tech stack, and love a good discussion on technical design. You know Java well and have a genuine interest in finance. You're motivated and thrive working alongside talented people from diverse backgrounds.Sound like you? We'd love to get to know you.Your TasksParticipate in software development projects to level up our indexing platformSupport the development of algorithms for real-time calculation of financial indicesEnsure high quality of our solutions, e.g. through testingCooperate closely with our infrastructure and business teamsYour ProfileEnrolled student in the field of Computer Science, (Financial
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