“As a physicist, I combine the ability to critically analyse complex problems with the skills to solve them using strong mathematical and computational tools.”

About Giorgia

Graduate 2019

Role: Data & Analytics in the Tech&Ops team 
Based in: Geneva 

Giorgia Rauco

As a graduate, what learning courses were available to you and how have they helped your career development?

Financial and data sectors are constantly evolving, thus continuous education is fundamental. With a scientific background, my priority was to gain a deeper understanding of the investment industry, so I enrolled in the “CFA Institute Investment Foundations” program and in the ISFB course “Economy - the Swiss banking world”.  I am now more aware of domain specificities that are essential to extract data insights with business added-value.

As data analyst, it is crucial to keep up with the latest technologies. Thus, I joined the EPFL program “Applied Data Science: Machine Learning”, to expand and refine my technical skills with a focus on business applications. I also became a certified Machine Learning Practitioner of DataIku, a platform allowing data experts to build predictive models.

How did you make the most out of the graduate program given the current circumstances? How did you cope?

The pandemic put a strain on all major aspects of our lives, including social relationships and work activities. At the beginning, working from home made it challenging to find motivation and focus, and to interact with colleagues. Being a graduate, I was also worried about the difficulty of joining new teams through my rotation and learning new tools from remote.

That being said, many of these difficulties turned into opportunities. I was given all the instruments to continue working efficiently on my projects while attending online webinars and trainings, and I regularly kept in touch with my managers and my colleagues, finding new ways to interact and socialize, through e-coffee breaks and after-work e-drinks.
 

You have a PhD in physics. How is it beneficial to your role at Pictet?

In my current role as a Data Analyst, my main goal is to extract valuable insights from raw data. As a physicist, I combine the ability to critically analyse complex problems with the skills to solve them using strong mathematical and computational tools. Even though there’s a difference in the semantics of problems in physics and in the banking industry, the main skills needed, and the goals are more similar than we might think.

Where do you see the most potential for data & analytics at Pictet? 

Data will become ever more valuable in a world that is fast accelerating its digital advance across all domains, perhaps even more so in the banking and financial sectors. The way data is collected, analysed and presented will be key in shaping the way business is conducted and the future of relationships with clients. We shouldn’t forget, either, that artificial intelligence and machine learning are one of the pillars of Pictet’s Ambition 2025.