What was your background before you joined D-AIM? (e.g., education and professional experience)
I have a statistical engineering degree from the National School for Statistics and Information Analysis (ENSAI). My professional experience began in my final year of studies, with an internship at Banque Fédérale des Banques Populaire in the risk department. Next, I spent around five years at BNP Paribas Personal Finance, as part of the decision support systems team in the legal debt collection department. And, in April 2013, I joined D-AIM!
Why did you decide to work at D-AIM?
I initially went into statistics because I wanted a job where I could learn about different areas and topics. Although I enjoyed working in banking, after a few years, I felt I needed a much livelier and more agile environment. D-AIM perfectly fits both criteria.
What’s your role? How would you describe it and why do you love it?
I’m a data scientist with the Consulting Canada team. My tasks and responsibilities are pretty diverse, but I oversee tool development, do the technical supervision of internal and client projects and assist with new customer projects. For the latter, I get involved during the setup phase, helping less experienced colleagues with data audits and diagnostics, scoring creation and implementation. I also provide support for any existing projects. My favorite part of the job is getting to work on a wide variety of topics with different people, both internally and externally. And as the data industry is rapidly changing, our roles are constantly changing (new approaches, new technologies, etc.), which is really inspiring.
What particular qualities does your role require?
Discipline, flexibility and curiosity.