The Business a flexible FinTech company with a base in London that issues Mastercards and conducts business-to-business transactions. This is a profitable industry, even though many FinTech companies are losing money; if new technology is needed, no reason is needed. A role Your responsibility will be to make sure the transaction monitoring system's data input process, component rules, scenarios, and models are operating as intended while assisting the financial crime operations team in identifying patterns of suspicious behaviour. In addition, you will examine data and analytics related to financial crime prevention operations and report on them. This entails creating reporting dashboards for use by both internal and external regulators at the highest levels of the organisation. This is a fantastic chance for someone who enjoys working independently and can do so effectively to help shape the department's data strategy while collaborating closely with the IT and fraud teams. Python, SQL, and Tableau are among the technological tools used in the position. The candidate will have at least one year of data analytics expertise in the financial services industry. Preferably knowledge of financial crime and fraud, or card payments will have familiarity using Python and SQL. will hold a degree in a STEM field. Will possess working knowledge of numerous and sizable unstructured datasets. Employer: d.prosser Posted under: Python, SQL