3 Trustly jobs

Job Purpose To both execute on and oversee multiple complex data initiatives, ensuring that relevant, high-quality data is available in a timely manner for various analytical processes. A key aspect of this role is the ability to understand and translate business requirements into high value insightful data solutions, perform impact analysis to assess scope and budgeting implications, and engage effectively with key stakeholders across the bank. The Senior Data Analytics Engineer must be adept at navigating the bank’s systems and data landscape, ensuring alignment between data initiatives and business objectives. The senior Data Analytics Engineer is responsible for optimizing the data engineering analysis process, mentoring junior and intermediate analysts, conducting performance reviews, and supporting professional development. Analytics Engineering Alignment Navigating the bank’s systems and data landscape, ensuring alignment between data initiatives and business...

Job Purpose To provide strategic quantitative insights across the end-to-end credit lifecycle, leveraging advanced analytics to identify emerging risks, uncover growth opportunities, and influence business strategy. Acting as a trusted analytical partner, the role translates complex data into actionable recommendations that enhance portfolio performance, profitability, and risk management. Job Responsibilities Strategic Analytics and Portfolio Insight Leadership Develop a deep understanding of portfolio performance across the end-to-end credit lifecycle within Private Clients, Wealth, and Small Business Services . Identify emerging risks, customer behaviour trends, portfolio opportunities, and competitive threats through advanced quantitative analysis. Design proactive monitoring frameworks and early warning indicators to support strategic decision-making. Influence portfolio, credit, and business strategy through evidence-based recommendations to senior...

Job Purpose The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Nedbank Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the bank to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self service, API and solutions around big data that support the Bank's strategy to become a data driven organisation. Job Responsibilities Responsible for the maintenance, improvement, cleaning, and manipulation of data in the bank's operational and analytics databases. Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastucture eg using Infrastructure and...