Data Scientist (Financial Data Product Analyst) @ sparkdata

YOUR ROLE

• Evaluating and integrating new datasets into our product.
• Clustering, bias removal and signal extraction.
• You put yourself into the customer’s shoes and think about how they use the data to make better investment decisions. 
• You work closely with the product team to bring your ideas to life and excite our customers.
• Another part of the role is that you construct fundamental models to forecast company KPIs from alternative and traditional datasets.
• You remain up-to-date with the latest developments in the world of alternative data for investing, cultivating relationships with key people, tracking the main publications, attending relevant conferences, etc..
• You report directly to the CTO and have a lot of freedom to shape your responsibilities and the impact of data science at sparkdata.

YOUR PROFILE

• Strong academic track record in any field - a graduate degree and/or the CFA would be a plus.
• Knowledge of standards of financial data and experience in building financial models required.
• 4 years of data analysis or data science experience required.
• Ideally 2 years of previous experience deriving investment insights from alternative data sources.
• Experience using either Python, R, Jupyter Notebooks, Numpy, Sklearn, pandas or SQL for data analysis a plus.
• Know-how of the alternative data industry, including data categories and vendors is a plus.
• Strong verbal and written communication skills (fluent in English; German or other languages are a plus but not required)

WHAT WE OFFER

• A tremendously interesting dataset that is growing quickly and will expand further not only in size but also breadth when we acquire different kinds of data.
• A company that has data science at its core - in regards to the business model and how we drive the product.
• A small, innovative and dynamic team offering many opportunities for personal and professional growth.
• Competitive compensation package