Our product is all about collaboration and innovation. So are our people. We’re a small team, but we’ve got a big vision: to build a brand-new infrastructure for operational risk management. It’s not easy. We’re redefining the way some of the world’s biggest financial services companies and banks work with data. There are a lot of challenges – but a lot of opportunities to think and act creatively, too.

Backed by banks (JP Morgan, Citi, Barclays, Lloyds, BNP) and ratings agencies, Acin helps banks objectively manage their risk control landscape. Based on a network of peers, Acin’s data protocols connect a bank’s risk control data across their firm and industry leading to greater cost savings, and creating huge efficiency savings across the bank both in front and back-office operations.

The role:

• Data Ingestion – interpreting results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex mining.
• NLP/Matching – engine development (python).
• Data insights – identification and development of new data insights (data mining and visualisation, power bi, r, python). Conduct novel research in given topic areas. Present your results in a clear manner.
• Identifying areas where ML algorithms can be coupled with business logic for process automation, defining success criteria for these solutions and implementing them.