Case study 04 · Technology & Engineering
Fast-growing fintech platform
A first data science team of five, built in ten weeks, shipping predictive models within six months.
5hires in 10 weeks 01Challenge
The company needed to build its first data science and analytics team to support fraud detection and predictive modeling, with multiple specialized hires: data scientists, machine learning engineers and data engineers.
Competition for talent in the market was extremely high.
02Search
A targeted hiring strategy focused on data professionals with experience in financial modeling and risk analytics, candidates who had worked with large-scale data pipelines, and professionals experienced in Python, SQL and machine learning frameworks.
Stelvio worked closely with leadership to ensure competitive compensation and positioning of the company’s mission.
03Outcome
- 5 hires completed within 10 weeks
- Successfully built the client’s first dedicated data science team
- New team launched multiple predictive models within the first six months