Quantitative Business Analyst

Development, Full-time, Italy
This role has been filled
What are we trying to do?
We see an increased need for the wide business to enhance product development and re-engineering through a data-driven approach. We want to build innovative solutions in the Fintech domain by quantifying customer needs and pain points, factoring business processes, and mapping to product roadmaps and implementations. As a big player of services and information retrieval in many aspects of the Financial Markets, we want to help our clients find possibilities of automation in their business.

What do we need help with?
We need people with a quantitative background that can apply a rigorous approach to the analysis of business processes, customer needs, and mapping to current offerings/future developments. We need people that can frame various business problems without specializing to a single domain, provide links between clients and product/developer teams, solve problems in blurred contexts. We need people that can collaborate with developer/product teams, deal with quickly changing priorities and projects, iteratively test and refine the solutions we provide to unmet (and often, not completely known) needs.

What will you do?
You will be exposed to high level business ideas for new products and new technologies in the Fintech industry. You’ll be asked to determine appropriate methods to analyze customer processes, identify relevant information, design quantitative metrics to assess process efficiency and effectiveness.
You will document findings, prepare reports, formulate recommendations and high level product architectures based on structured analyses. You will analyze how customer needs can be optimally satisfied. You will present and interpret data results to senior management and clients.

What you’ll need to know:
You need to be able to model and abstract relevant dimensions in the problems under study. You need to have a quantitative mindset and approach to problem solving. You need to be able to structure data analyses and reports. You need to be able to suggest what can make the analysis better, which data can cross-check the assumptions, how we can retrieve those data in an effective and scalable way.

Required capabilities:
· STEM/Economics Master Degree. Previous experience in modelling complex problems.
· Working knowledge of Microsoft Office suite (Excel/PowerPoint).
· Working knowledge of BI tools (Power BI/Tableau).
· Working knowledge of Python or R is a plus.
· Industry knowledge is not essential but definitely beneficial.
- Good English skills (minimum B1)
- Good Italian skills (minimum B1)
· Team player.

Job Location: 
This position is for a full-time, permanent contract based in Pisa.
Enjoy a hybrid work culture that offers the best of remote flexibility and in-person collaboration.

About us
We’re visionary innovators who provide trading and workflow automation solutions, high-value analytics, and strategic consulting to corporations, financial institutions, central banks, and governments. More than 40% of the world’s largest companies use our solutions. We’ve achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world.
At ION, we offer careers that provide many opportunities: To invent. To design. To collaborate. To build. To transform businesses and empower people around the world to do more, faster, and better than before. Imagine what you can do and experience. This is where you can do your best work.
Learn more at iongroup.com.

Important notes
According to the Italian Law (L.68/99) please note that candidates from the disability list will be given priority.

Due to the high volume of applications, only those candidates that meet the required criteria for selection will be contacted.

Please do not apply if you don’t currently have the legal right to work in Italy, or if that right is just about to expire, or if that right has restrictions imposed which would prevent you from undertaking a full-time employment contract.

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