3 of 3 Data Extraction Jobs in the City of London

Owner Financial Crime Transaction Monitoring Business area: Financial Crime Transaction Monitoring systems (NICE Actimize SAM an advantage Technical stack: NICE Actimize SAM ETL, data extraction and analysis location: London city and home working hybrid 50/50% flexibility salary: £85-£125,000 dependant on skill set and bonus … will need to have: Hands-on technical experience developing and supporting reputable Transaction Monitoring systems, NICE Actimize (SAM - Suspicious Activity Monitoring); Transaction Monitoring systems & Data warehouse environments Deep understanding of Data warehouse environments Must demonstrate solid experience in understanding ETL, data extraction and analysis using ...

circumstances) Remuneration: either £450/day INSIDE IR35, or £90-£100k permanent employed Description Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large … scale data science and modelling initiatives This is a Senior Data Scientist/Analyst role within their global banking client’s developer experience team, supporting a new organisation-wide analysis initiative. This role sits at the intersection of data engineering and analytics, and requires strong, critical data ...

role will be assisting with bordereaux related work including but not limited to; ensuring records are accurate and up to date, identify and resolve data quality issues, extract large datasets from SQL, reconciling bordereaux data, and more. My client is looking for someone with extensive bordereaux/data … bordereaux. Review bordereaux received from coverholders, TPAs and internal underwriting systems. Ensure bordereaux comply with binder and capacity provider reporting requirements. Identify and resolve data quality issues before reports are issued. Data Extraction & SQL Extract large datasets directly from SQL databases. Write or modify SQL queries ...