FinScience is the lab of Investment Artificial Intelligence
FinScience is a data-driven fintech company founded in 2017 by Google’s former senior managers and Alternative Data experts, who have combined their digital and financial expertise. FinScience, thus, originates from this merger of the world of Finance and the world of Data Science through Augmented Analytics solutions applied to Investing activities.
FinScience leverages 3rdPlace’s experiences concerning Data Governance, Data Modeling and Data Platforms solutions. These are further enriched through the tech role in the european consortium SSIX (Horizon 2020 program) focused on the building of a Social Sentiment for financial purposes.
FinScience is the only Italian one selected by siliconrepublic.com among the 25 European deep-tech start-ups to watch in 2019.
FinScience is part of Datrix group.
With us in FinScience there are:
· data scientists
· data analysts
· data designers
· data engineers
· quant analysts
· software developers
· asset specialists
· account managers
Read our CVs on
What we do
With the use of Artificial Intelligence, we synthesize the molecule of Alternative Data to anticipate investment trends and to enhance Asset Management, Wealth Management, Traders, ESG Management, Credit & Risk Management and Investor Relations.
We gather digital contents from social and e-commerce platforms, blogs, maps, etc. (in English and in Italian).
We then analyze, filter, interpret and weigh them. We turn them into figures and time series with our proprietary Machine Learning algorithms (e.g. topic modeling, entity recognition, influencer clustering-and-evaluation algorithms).
Hence, the Alternative Data present in our data lake – treated as mentioned above – becomes the raw material for supplying our clients with two types of solutions:
- Information solutions, consisting of indexes and monitoring systems, “alternative” signals and scorings which may refer to individual enterprises, top management, products and/or even to specific topics (e.g. Brexit, spread, ESG)
- Operational solutions, comprising investment models, strategies and portfolios that result from the Quantamental combination of both Alternative Data and traditional data (e.g. Stock Exchange data, financial reports and quarterly balance sheet, open data).
Our technological infrastructure is thoroughly cloud-based; this makes it all extremely flexible and readily scalable.
FinScience is the data-driven FinTech company founded by former Top Managers of Google Italy and Alternative Data experts
Working as IT consultant, has gained various experiences in the digital field and in the design of SaaS architectures. He obtained the PMP certification from Project Management Institute and since 2017 he has been bringing his experience to FinScience where on the cloud he contributes to shaping the Platform by coordinating the amazing sotware development team. Outside FinScience, he likes taking part in table soccer tournaments, taking care of the home garden and tidying up the closets constantly “revisited” by his beloved wife.
She arrived at FinScience in 2018 after graduating in engineering and earning a PhD in Applied Statistics at the Politecnico di Milano. As a data scientist she designs algorithms and analyses (mostly textual) data. Outside the office she likes to immerse herself in the twenties through swing dance!
He arrived at FinScience in 2017 after various experiences as a quantitative analyst (Deloitte, Arca Sgr, ARPM) and a PhD in mathematical finance at Università di Milano Bicocca. He designs and implements algorithms and models for analysing financial markets. He likes competition, both as a participant and as a spectator, but only as long as the game is fair.
After 10 years as a software developer and then as data engineer, now my main focus is on the FinScience architecture. Sunday runner, couch potato, I spend my spare time between reading and retrogaming.
FinScience has got the interest of investors with remarkable financial backgrounds and longterm experiences with big data, who are ready to boost its international growth.