A London based, agile FinTech business who issue Mastercards and do business to business payments.
While many FinTech firms are losing money, this is a profit-making business; if you need new technology, there is minimal justification required.
The financial crime operations team to identify patterns of suspicious behaviour and your role will be to ensure the transaction monitoring system and its data ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyse and report on data and metrics relating to financial crime prevention operations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators.
This is an excellent opportunity for someone comfortable and capable of working in a standalone capacity, to support in shaping the data strategy within the department, working closely with IT and fraud teams.
Technology used within the role includes Python, SQL and Tableau.
- Will have at least 1 year of financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments
- Will be an experienced user of SQL and Python
- Will have a STEM degree discipline
- Will have experience working with multiple and large unstructured datasets
Tagged as: Python, SQL