Das ist der Job
Flexibility, efficiency and providing the highest quality are at the heart and soul of our business philosophy.
Darum lohnt es sich
Our Equity Operations team designs and maintains data pipelines that power next-generation index and ETF products.
Your Tasks
• Providing support in the daily business of the Equity Operations team with a focus on index rebalancing
• Helping in the automation certain workflow steps during the product lifecycle
• Supporting in particular with comprehensive company research tasks for the innovative and quickly developing thematic indexing space
• Working collaboratively with various internal teams to provide comprehensive solutions
Your Profile
• Enrolled student in Economics, Finance, Computer Science, Mathematics or similar
• Interest in the stock market and investment trends
• Competent user of MS-Office applications (Excel in particular)
• Programming skills in Python are required
• Analytical thinking and attention to detail
• Independent and structured working style
• High level of enthusiasm, creativity and teamwork
• Excellent English skills
• Ideally available for a period of six months starting in October
Our Offer
• Be part of the Solactive team 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 (e.g. gym, regular staff parties, access to Corporate Benefits, modern office space with ergonomic set-up, employee lounge, and free beverages and fruits) and a monthly remuneration for your internship Company Description
Solactive AG is a FinTech company operating globally and growing at a fast pace, headquartered in Frankfurt.
Since 2007, we develop tailor-made and multi-asset class index solutions for ETFs and other index-linked investment products for the leading global investment banks and asset managers as our clients. We are now hiring! Job Overview
Do you enjoy capital-market puzzles and building software that solves them?
If you like turning raw market data into clean, queryable databases and mapping out how each component fits into a larger architecture, we would love to work with you.
