Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals? We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational policies and support cross-functional teams in delivery. Lead the development of fraud intelligence reporting to highlight risks and support change. Act as a subject matter expert, mentoring junior analysts and advising key stakeholders. Collaborate with fraud operations, product teams, and tech to influence system and process design. Keep senior leaders informed through regular KPI updates, dashboards, and insights. What We're Looking For We're seeking an analytical thinker who's naturally curious, proactive, and solutions-focused. You'll need to demonstrate: Essential: Strong experience in fraud analytics within the financial services or personal finance industry Proven technical skills using SAS, SQL, or Python for data mining and analysis Knowledge of fraud detection systems such as Falcon, Hunter , or similar Ability to interpret data trends and translate into actionable fraud strategy Strong communication skills, able to influence at all levels Team player with a mentoring mindset Desirable: Experience managing a fraud analytics function Understanding of data warehousing systems and architecture Previous experience writing or managing rule-based systems for fraud detection Why Join Us? Be part of a mission-critical team driving real-world impact in fraud prevention Work in a supportive, forward-thinking environment where your ideas shape outcomes Access to professional development, training, and career progression Competitive salary, benefits, and flexibility Ready to take the next step? If you're passionate about fraud prevention and have the analytical toolkit to back it up, we want to hear from you.
17/10/2025
Full time
Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals? We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational policies and support cross-functional teams in delivery. Lead the development of fraud intelligence reporting to highlight risks and support change. Act as a subject matter expert, mentoring junior analysts and advising key stakeholders. Collaborate with fraud operations, product teams, and tech to influence system and process design. Keep senior leaders informed through regular KPI updates, dashboards, and insights. What We're Looking For We're seeking an analytical thinker who's naturally curious, proactive, and solutions-focused. You'll need to demonstrate: Essential: Strong experience in fraud analytics within the financial services or personal finance industry Proven technical skills using SAS, SQL, or Python for data mining and analysis Knowledge of fraud detection systems such as Falcon, Hunter , or similar Ability to interpret data trends and translate into actionable fraud strategy Strong communication skills, able to influence at all levels Team player with a mentoring mindset Desirable: Experience managing a fraud analytics function Understanding of data warehousing systems and architecture Previous experience writing or managing rule-based systems for fraud detection Why Join Us? Be part of a mission-critical team driving real-world impact in fraud prevention Work in a supportive, forward-thinking environment where your ideas shape outcomes Access to professional development, training, and career progression Competitive salary, benefits, and flexibility Ready to take the next step? If you're passionate about fraud prevention and have the analytical toolkit to back it up, we want to hear from you.
We're looking for an experienced Senior Application Support Engineer to join a growing IT team and play a key role in supporting critical business applications across a modern and complex technology stack. In this role, you'll be responsible for: Investigating and resolving technical incidents, ensuring minimal downtime and effective root cause analysis Proactively maintaining and optimising applications, performing upgrades and configuration changes Monitoring system performance, defining service-level objectives, and addressing bottlenecks before they impact users Collaborating closely with engineering and business teams to drive operational excellence Enhancing processes, documentation, and tooling to support continuous improvement What we're looking for: Proven experience in an application support or support engineering role, within financial services ideally, or another regulated environment Strong knowledge of SRE principles, incident management, monitoring, and performance tuning Hands-on technical skills across a broad range of technologies, including: Microsoft: C#, VB, .NET Core, Azure, SQL Server, IIS, Windows Server Web: React, RESTful APIs, Docker, Azure Kubernetes Service (AKS) Tools: CI/CD pipelines (Azure DevOps), Dynatrace, Git, Okta, Apigee Excellent communication skills and the ability to work effectively across cross-functional teams Desirable: Familiarity with legacy VB/C# applications in a modernised environment Experience in automation/scripting (PowerShell, Bash) Background in financial services applications or products Location: London (hybrid working - 2/3 days a week in the office) This is a fantastic opportunity to join a collaborative, forward-thinking technology environment where you'll be empowered to take ownership, solve problems, and contribute to continuous improvement. If you're passionate about application support, thrive in complex technical environments, and want to make a real impact, we'd love to hear from you!
17/10/2025
Full time
We're looking for an experienced Senior Application Support Engineer to join a growing IT team and play a key role in supporting critical business applications across a modern and complex technology stack. In this role, you'll be responsible for: Investigating and resolving technical incidents, ensuring minimal downtime and effective root cause analysis Proactively maintaining and optimising applications, performing upgrades and configuration changes Monitoring system performance, defining service-level objectives, and addressing bottlenecks before they impact users Collaborating closely with engineering and business teams to drive operational excellence Enhancing processes, documentation, and tooling to support continuous improvement What we're looking for: Proven experience in an application support or support engineering role, within financial services ideally, or another regulated environment Strong knowledge of SRE principles, incident management, monitoring, and performance tuning Hands-on technical skills across a broad range of technologies, including: Microsoft: C#, VB, .NET Core, Azure, SQL Server, IIS, Windows Server Web: React, RESTful APIs, Docker, Azure Kubernetes Service (AKS) Tools: CI/CD pipelines (Azure DevOps), Dynatrace, Git, Okta, Apigee Excellent communication skills and the ability to work effectively across cross-functional teams Desirable: Familiarity with legacy VB/C# applications in a modernised environment Experience in automation/scripting (PowerShell, Bash) Background in financial services applications or products Location: London (hybrid working - 2/3 days a week in the office) This is a fantastic opportunity to join a collaborative, forward-thinking technology environment where you'll be empowered to take ownership, solve problems, and contribute to continuous improvement. If you're passionate about application support, thrive in complex technical environments, and want to make a real impact, we'd love to hear from you!
Stock Control Analyst (Data Integrity Analyst) Wolverhampton Permananent Full time Our client is an international business procurement outsourcing organisation, managing the procurement and store solutions of indirect materials. As the Data Integrity Analyt, you will be working closely with the on-site Gate Keeper, you will be a point of contact for all new parts enquiries on the shop floor - ranging from single item requests to multiple uploads. You will be responsible for obtaining quote requests for non-stock special items and for progressing Client orders upon request. Furthermore, you will take responsibility for the Store's Bill of Materials (BoM) and the maintenance of its data to help to build and improve business efficiencies in line with the standards expected of the company and its Client. Job Description: * To obtain quote requests for non-stock items (specials) and to progress Client orders with suppliers upon request * To progress status of delivery lead times on all orders placed when required * To work towards the Client's standards on the uploading of new parts onto the BoM * To assist in the creation and maintenance of a data dictionary by revising and entering product descriptions within the BoM * To identify duplications, omissions and errors within the BoM and to work closely with the on-site Gate Keeper to help to resolve these in a timely manner * To build and maintain Client confidence on the confidentiality, maintenance and analysis of its product data * To produce and deliver the end of day upload of BoM to the on-site Gate Keeper for uploading onto the SAP system * To maintain regular communication with the Client Relationship Manager (CRM) to ensure workload is managed and maintained in line with the company and its Client's expectations * To carry out such other duties which are consistent with the nature and responsibilities of the job role Skills Required: * Strong problem solving, mathematical, statistics and quantitative reasoning skills * Excellent verbal and written communication skills * Proficient planning and organisational skills with a methodical and logical approach * Strong attention to detail with a high level of accuracy * Effective decision making skills * Excellent IT skills with proficient use of Microsoft Excel and its formula functionality * Exceptional customer service skills Knowledge Required: * Proven experience of data analysis * Experience of working within a customer service environment
07/10/2021
Full time
Stock Control Analyst (Data Integrity Analyst) Wolverhampton Permananent Full time Our client is an international business procurement outsourcing organisation, managing the procurement and store solutions of indirect materials. As the Data Integrity Analyt, you will be working closely with the on-site Gate Keeper, you will be a point of contact for all new parts enquiries on the shop floor - ranging from single item requests to multiple uploads. You will be responsible for obtaining quote requests for non-stock special items and for progressing Client orders upon request. Furthermore, you will take responsibility for the Store's Bill of Materials (BoM) and the maintenance of its data to help to build and improve business efficiencies in line with the standards expected of the company and its Client. Job Description: * To obtain quote requests for non-stock items (specials) and to progress Client orders with suppliers upon request * To progress status of delivery lead times on all orders placed when required * To work towards the Client's standards on the uploading of new parts onto the BoM * To assist in the creation and maintenance of a data dictionary by revising and entering product descriptions within the BoM * To identify duplications, omissions and errors within the BoM and to work closely with the on-site Gate Keeper to help to resolve these in a timely manner * To build and maintain Client confidence on the confidentiality, maintenance and analysis of its product data * To produce and deliver the end of day upload of BoM to the on-site Gate Keeper for uploading onto the SAP system * To maintain regular communication with the Client Relationship Manager (CRM) to ensure workload is managed and maintained in line with the company and its Client's expectations * To carry out such other duties which are consistent with the nature and responsibilities of the job role Skills Required: * Strong problem solving, mathematical, statistics and quantitative reasoning skills * Excellent verbal and written communication skills * Proficient planning and organisational skills with a methodical and logical approach * Strong attention to detail with a high level of accuracy * Effective decision making skills * Excellent IT skills with proficient use of Microsoft Excel and its formula functionality * Exceptional customer service skills Knowledge Required: * Proven experience of data analysis * Experience of working within a customer service environment
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