FINANCIAL SERVICES

Challenge:

A leading UK-based financial services company faced a pressing challenge to recruit top-quality talent within its Pricing and Data Science teams. As the market for such candidates became increasingly competitive, our client needed a strategic solution to attract and retain skilled professionals in these critical business areas. The previous hiring methods were proving ineffective in securing the calibre of candidates required to drive their business forward. 

Solution: 

Initially, Vermelo leveraged advanced tools to build an extensive talent pool and network of Pricing and Data Science candidates. Collaborating closely with our client, the Vermelo team was able to understand the specific skill set and requirements of the pricing, data science and machine learning roles. This partnership enabled Vermelo to source, screen, and present suitable candidates efficiently, from entry-level graduates to experienced specialists. 

By adopting a proactive approach to talent acquisition and utilising direct sourcing methods, Vermelo ensured that our client had access to the best talent available in the market. 

Results: 

The collaboration delivered significant results. All Data Science and Machine Learning positions were successfully filled within the designated timeframe, demonstrating Vermelo's efficiency and its commitment to supporting the growth of the Machine Learning Science team. Vermelo's cost-effective approach, with lower percentage fees compared to external agencies, translated into substantial cost savings for our client. By leveraging direct sourcing methods and industry-leading tools, Vermelo provided our client with a competitive edge in attracting the very best talent. 

Summary: 

Vermelo's RPO solution proved instrumental in revolutionising our client’s recruitment and talent acquisition processes. By understanding their unique needs and leveraging innovative strategies, Vermelo facilitated the acquisition of skilled professionals, enabling our client to stay ahead in a highly competitive pricing and data science market. 

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