Working on multiple tasks supporting a large programme in Financial Crime Prevention
responsibilities :
Data profiling
Data design
Data mapping
Complex data analysis
requirements-expected :
Proven experience in data management, data quality, or a related role, preferably within the financial services industry
Experience with advanced SQL, Python, R, Java and Scala, Big Data
Familiar with data taxonomy and capable to build small data models
Experience with Power BI to produce reports
Excellent stakeholder management as you will be working closely with multiple business areas and key business leads across IT, Architecture, Financial Crime, Compliance, Legal - and the Business in order to implement changes
Experience within financial crime (AML/CTF, KYC, Transaction Monitoring and Sanctions)
Professional, organised, and structured approach
Produce work to a high-quality standard and strive to find the solution that is best for the bank
Prepared for fast-paced projects with changing priorities
Excellent analytical and problem-solving skills, strong attention to detail and a commitment to data accuracy
Ability to communicate effectively with both technical and non-technical audiences
offered :
Opportunity to work closely with multiple business areas and key business leads across IT, Architecture, Financial Crime, Compliance, Legal - and the business
