This company enables banks to automate the complex human tasks of risk investigation and decision making in Financial Crime and Compliance. In areas such as Anti-Money Laundering, Sales Quality, Customer Due Diligence and Wealth Management, global banks harness large numbers of human analysts in a continual effort to investigate and to mitigate risk.
They transform risk and efficiency for global banks, through machine intelligence solutions that can automatically read, analyse and make judgements as well as the very best human experts.
Role
To work with their development and data science teams to investigate current and new data sources to ensure their Machine Learning products and services are successfully delivered using modern deployment practices.
As their customers are amongst the biggest names in the financial sector, security is at the heart of everything they do. The successful candidate will be supporting the team analysing complex data sets by combining various data sources and providing the tools to support building machine learning models.
The candidate will be building the tools, infrastructure and processes required to ensure the reliability, flexibility and security of their production environments.
Required
- Hadoop/Spark
- Hive
- Client Management Experience
- Scripting Knowledge (Python etc)
- Cloud Storage (NoSQL, Mongo DB etc)
- Linux (bash/shell scripting)
Beneficial
- DBA knowledge and/or experience
- Strong written and oral communication skills - ability to explain key data engineering processing
concepts to technical and non-technical audiences
- Basic understanding of data science concepts or working with data scientists
- Working with machine learning/big data/Cloud Computing
- Experience working within financial/fintech sectors
- Knowledge of working in Agile/Scrum
- Experience of Jira and Confluence
What they offer
- An opportunity to work with cutting edge technologies for a rapidly growing and innovative company
- A chance to be part of a close-knit team working in a dynamic challenging environment
- A 35-hour working week. 25 days holiday + bank holidays