Mosaic Smart Data
Fabio Mignardi has work experience spanning from 2017 to the present. In 2017, they completed an internship at Betlab s.r.l. as a Tirocinio curriculare. From 2018 to 2021, they worked as a Trading Software Analyst at Itiviti AB. Currently, they are employed as a Data Analyst at Mosaic Smart Data since October 2022.
Fabio Mignardi has a strong educational background in finance and economics. Fabio obtained their Alta Formazione in Finanza Matematica from Alma Mater Studiorum – Università di Bologna in 2021-2022. Prior to that, they completed their Laurea Magistrale LM in Finanza Intermediari e Mercati from the same institution from 2015 to 2018. In 2016-2017, they participated in the Erasmus program at Wroclaw University of Economics and Business, focusing on finance. Fabio began their academic journey by earning their Laurea triennale in Economia aziendale from Alma Mater Studiorum – Università di Bologna from 2012 to 2015.
In addition to their formal education, Fabio Mignardi has pursued further certifications to enhance their skills. Fabio completed the Git & GitHub Course from Codecademy in January 2023. Prior to that, they obtained the Data Analysis with Pandas certification in November 2022, and the Command Line Course certification in October 2022, both from Codecademy.
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Mosaic Smart Data
Mosaic Smart Data delivers the insight and real-time intelligence that FICC market participants need to increase business opportunities and meet regulatory requirements.Financial institutions are facing a challenging period in the FICC markets, largely as a result of the constraints from new regulatory initiatives, high fixed costs and afragmented market structure.Against this backdrop, Mosaic believes that institutions that harness their data intelligently to service and predict their clients’ needs will gain a competitive edge and drive profitability.Mosaic delivers the cutting edge technology required to turn the tide of decline and transform information to intelligence. Our vision is to empower financial market professionals with usable, data-driven tools and enable them to ask the questions they need answered and receive results in a highly graphical enterprise-wide format.