Working Student (m/f/d) Data Analyst | Dresden

Since 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.

Solactive is a data-centric company: all of the company’s products are built by enriching data. Data availability and quality is therefore of paramount importance for the success of Solactive! The Data Engineering Team provides the data that forms the basis of all Solactive products: this is data obtained from data vendors as well as data created at Solactive. When implementing our projects, we rely on the most modern concepts and architectures (decentralized, cloud-based data architectures following the principles and guidelines described in the data mesh approach). As a member of the Data Engineering team, you will contribute to design, implement and operate new data products in close collaboration with the Product Owner, Market Data experts and our business units. You will support the requirements analysis, acceptance criteria and quality assurance of high-performance data processing solutions that scale using emerging technologies and approaches and help us define new best practices

• Support to automate data quality assessments on financial datasets
• Comparison and evaluation of market data from different sources
• Tracking and creation of the data processing pipeline and depending business workflows
• Prepare analysis reports for the stakeholders enabling them to take important decisions
• Help to define data manipulation processes

• Enrolled student of Economics with IT affinity, or enrolled student in IT/ Business Information Systems/ Engineering with a interest in capital markets 
• Experience with Python
• Skilled on data exploration using SQL and/or Python
• Keen sense of perception 
• Good problem-solving skills and hands-on approach
• Self-confidence and team-spirit
• Good communication skills

• Be part of the Solactive family, a motivated team with an international setting
• Get to know the dynamics of an established, successful FinTech company
• Experience a modern start-up culture with a flat hierarchy
• Seize the opportunity to develop personally and take over responsibility
• Receive numerous benefits (fitness studio, awesome staff parties, dart-contests in our social room, soccer evenings on the big screen, after-work chill-out with barbecue among others)

Interested? Don’t miss your chance and directly apply online by clicking the “Apply now” button on our website and filling in the application form. Please make sure to also upload your CV including your desired start and duration of the internship, a cover letter is not compulsory. Your contact person is Timothy Donovan (careers@solactive.com ). We are looking forward to hearing from you!
 
For further information, please visit: www.solactive.com/career/
 
To all recruitment agencies: We do not accept unsolicited CVs/Candidate Profiles. Please do not forward any CVs/Candidate Profiles to any Solactive employee in any location. Any requests for cooperation have to be addressed directly to HR. Any costs associated with unsolicited CVs/Candidate Profiles are not being covered by Solactive.