4 of 4 Big Data Jobs in Northamptonshire

to assess, implement, and manage fraud detection tools and capabilities.Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies.Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover.Some other highly valued … skills may include:Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation.Supervisory and mentorship experience, delegating responsibilities within financial services.Experience working with an industry leading digital identity, device, and behavioural profiling technology.Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place for all rule and model … executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

per week. Responsibilities As a subject matter expert, you will champion initiatives that enhance performance analytics and add significant value to the function. Your responsibilities will include conducting regular data driven performance reviews with different levels of the P&SM team, identifying root causes of issues, and developing effective action plans. You will also explore and implement alternative ways … thorough analysis and mapping of business processes to identify areas for improvement. Stakeholder Management: Build and maintain strong, influential relationships with leadership teams, finance, and commercial teams, ensuring that data-driven insights directly shape key business decisions. Strategy Execution: Execution of the vision for how data is utilised across Product and Supplier Management. Implement strategies that enhance data … backgrounds. Collaborative team player across a business with fast moving, customer driven markets. Understanding of process and the value of organisational efficiency. Desirable skills and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer More ❯