The bank had set up an in-house "quants academy" facilitated by its own subject matter experts, but could not deliver all the skills discovered in a gap analysis. Essentially, there were not sufficient skills in-house to deliver more advanced data science training.
At the time, the bank’s training consisted of staff teaching themselves ad-hoc on Udemy and EdX. They sought a more formal, thought-through solution for developing these critical skills in-house.
~80 people graduated from ExploreAI’s Data Science for Analysts course over three cohorts.
The project consisted of upskilling dozens of internal staff in data-related skills over a 9-month period. Apart from the coursework, which is hands-on and broadly practical from the very first week, delegates worked towards a number of capstone projects.
Capstone projects included, and involved delegates building and deploying solutions in:
Machine learning models improved headline earnings in Unsecured Lending by >$1M pa.
New models better identify high-salary, low-risk clients.
The models have resulted in an increase in accounts and profit generated from DM and a reduction in the volume of applications.
“Working with ExploreAI has been incredible. Their platform and teachers are world-class, and more importantly, their focus on applying the skills taught to real-life business problems was exactly what we were looking for in a technical training partner.”
– Head of Quantitative Analytics
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