Regulatory Reporting Technical Specialist
This role involves preparing and validating regulatory reports for financial supervisors. It offers professional growth, flexible scheduling, and various social benefits.
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Live jobs with “Data Quality” in the title or listed as a skill.
This role involves preparing and validating regulatory reports for financial supervisors. It offers professional growth, flexible scheduling, and various social benefits.
A Big Data Engineer will join the Intelligent Systems Area to drive industrial digitalization. The role offers a competitive salary, flexible hybrid work, and extensive training opportunities.
The role involves preparing and validating regulatory reports for banking supervisors. It offers professional growth, flexible hours, and various social benefits.
A Technical Accountant will manage reinsurance accounting, verify client statements, and process data in SAP systems. The role offers a flexible hybrid working model and comprehensive benefits.
Senior Data Engineer specialized in PySpark and Python to join the Data Office. You will design, develop, and optimize large-scale data solutions and data products. The role is based in Madrid.
As a Deployment Strategist, you will manage the end-to-end customer deployment process, from initial data validation to launch.
The role involves administering and analyzing Global Material Master Data to ensure quality and integrity.
A Data Quality & AI Engineer will design and deploy cloud-native solutions on GCP using Python and Generative AI. The role offers a hybrid work environment and a strong benefits package.
Analyst monitoring and improving business performance, turning data into insights, KPIs and dashboards for decision-makers.
This role involves building and automating data quality checks and analytical dashboards. You will work with Python and SQL to improve reporting processes and support regulatory compliance.
Leads strategic data governance, audit and regulatory compliance projects for financial sector clients at EY. Supervises teams, automated testing and BI dashboards.
The role involves reviewing and evaluating machine learning challenges to ensure they are technically sound, reproducible, and require genuine ML reasoning.
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