This role is perfect for an entrepreneurial self-starter who loves data, finding signal among the noise, and presenting results for practical consumption. On the flip side, you also love building the foundational processes and systems to receive, store, transform and make the data usable.
You will be our first hire and work directly with the founders as we move the company forward.
Use a combination of financial market data, social media data, the AuCoDe controversy score engine, and customer supplied data to infer insights into stock price movements.
Build/organize systems and processes to manage market, social media and customer data.
Present results in graphically informative ways for internal and external consumption.
Collaborate with founders to understand customer needs and formulate solutions.
Integrate novel research from our partner lab at UMass Amherst directly into our products.
Seeks a challenge and gets things done.
At least one of:
Math/Stats/Machine Learning background.
FinTech work experience.
Working Python skillset.
U.S. Work Authorization. Unfortunately we cannot sponsor visas at this stage.
Desired but not Required
Data modeling / SQL / NoSQL database experience.
R, Java, SAS or other data centric programming language experience.
Experience creating visualizations with software like Jupyter, Tableau, Spotfire, Power BI, etc.
We use machine learning and information retrieval techniques to develop software that detects controversy in social media, news and other outlets. Controversy is key. We have unique technology based on research developed at UMass Amherst, for which a patent has been filed. It is distinct from traditional sentiment and has a high value proposition in many verticals. With numerous opportunities for growth, we know we must focus our efforts. Our initial target market and product emphasis is Financial Services.