MERJE Ltd
Senior Data Analytics Consultant - Fraud & Investigations About the Opportunity We are partnering with a leading global organisation to recruit a fraud data analytics specialist. The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations. This is an excellent opportunity to work on impactful projects with major financial institutions and multinational organisations, helping them detect, prevent, and investigate fraud and misconduct. Key Responsibilities Partner with clients, investigators, compliance teams, auditors, legal professionals, and regulators on complex and sensitive engagements. Gather requirements, define project scope, and translate business challenges into analytical solutions. Deliver end-to-end analytics projects, including data acquisition, engineering, transformation, analysis, visualisation, deployment, and stakeholder reporting. Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks. Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives. Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging risks. Create compelling visualisations and reporting outputs that clearly communicate findings to technical and non-technical stakeholders. Mentor and support junior team members, ensuring high-quality delivery across engagements. Collaborate with technology, innovation, and business development teams to drive continuous improvement and growth. What We're Looking For Degree in a STEM discipline such as Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience. Strong hands-on experience with Python, SQL, and modern data platforms such as Databricks, Azure Data Factory, or similar technologies. Experience designing and delivering data analytics solutions across the full project lifecycle. Excellent problem-solving, critical thinking, and analytical skills. Ability to communicate complex technical concepts clearly to a wide range of stakeholders. Experience working independently while managing multiple priorities and mentoring less experienced colleagues. Desirable Experience Exposure to financial crime, fraud, regulatory compliance, investigations, market surveillance, or risk management environments. Consulting or client-facing experience. Experience with: Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript
Senior Data Analytics Consultant - Fraud & Investigations About the Opportunity We are partnering with a leading global organisation to recruit a fraud data analytics specialist. The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations. This is an excellent opportunity to work on impactful projects with major financial institutions and multinational organisations, helping them detect, prevent, and investigate fraud and misconduct. Key Responsibilities Partner with clients, investigators, compliance teams, auditors, legal professionals, and regulators on complex and sensitive engagements. Gather requirements, define project scope, and translate business challenges into analytical solutions. Deliver end-to-end analytics projects, including data acquisition, engineering, transformation, analysis, visualisation, deployment, and stakeholder reporting. Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks. Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives. Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging risks. Create compelling visualisations and reporting outputs that clearly communicate findings to technical and non-technical stakeholders. Mentor and support junior team members, ensuring high-quality delivery across engagements. Collaborate with technology, innovation, and business development teams to drive continuous improvement and growth. What We're Looking For Degree in a STEM discipline such as Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience. Strong hands-on experience with Python, SQL, and modern data platforms such as Databricks, Azure Data Factory, or similar technologies. Experience designing and delivering data analytics solutions across the full project lifecycle. Excellent problem-solving, critical thinking, and analytical skills. Ability to communicate complex technical concepts clearly to a wide range of stakeholders. Experience working independently while managing multiple priorities and mentoring less experienced colleagues. Desirable Experience Exposure to financial crime, fraud, regulatory compliance, investigations, market surveillance, or risk management environments. Consulting or client-facing experience. Experience with: Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript
MERJE Ltd
Grimsby, Lincolnshire
The Role A full-time permanent position within the Credit Risk team with an agreed flexible mixture of working from home and Head Office in Grimsby. Reporting directly to the Credit Risk Team Leader, the Credit Risk Analyst will be responsible for producing accurate analysis on a variety of key credit risk metrics and customer behaviours, helping shape and enhance the firm's credit and affordability strategy. The role involves collaborating with colleagues within the Credit Risk team and wider business on key projects designed to achieve sustainable growth with a customer focused approach. Key Responsibilities Extracting, manipulating and analysing data on the performance of key credit risk business metrics. Provide detailed and insightful solutions to drive performance and support credit risk and affordability decisions. Involvement in team projects to ensure both KPI and business strategies are met. Utilise both internal database sets and SAS database mining software, as well as external datasets including CRA data. Design and produce new management information and reporting to support business and risk requirements. Deliver clear, meaningful MI to senior stakeholders. Carry out broader data analysis to support lending strategy, risk appetite, and overall portfolio profitability. Respond to ad-hoc requests from around the business, investigating specific risk issues and providing insight to support business decisions. Key Skills and Attributes Strong data extraction and analysis skills with the ability to analyse and interpret large datasets. Strong organisational skills with the ability to manage multiple priorities and meet deadlines. Ability to translate complex analysis into clear, non-technical insights to present to senior leadership. Proficiency with using advanced analytics tools (e.g. SQL, SAS, Python) and recent experience working with large data sets. Proficiency with MS Office software (Excel, Word, PowerPoint, Power BI). Proactive approach to work and problem solving. Strong attention to detail and accuracy. Excellent written and verbal communication skills. Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
The Role A full-time permanent position within the Credit Risk team with an agreed flexible mixture of working from home and Head Office in Grimsby. Reporting directly to the Credit Risk Team Leader, the Credit Risk Analyst will be responsible for producing accurate analysis on a variety of key credit risk metrics and customer behaviours, helping shape and enhance the firm's credit and affordability strategy. The role involves collaborating with colleagues within the Credit Risk team and wider business on key projects designed to achieve sustainable growth with a customer focused approach. Key Responsibilities Extracting, manipulating and analysing data on the performance of key credit risk business metrics. Provide detailed and insightful solutions to drive performance and support credit risk and affordability decisions. Involvement in team projects to ensure both KPI and business strategies are met. Utilise both internal database sets and SAS database mining software, as well as external datasets including CRA data. Design and produce new management information and reporting to support business and risk requirements. Deliver clear, meaningful MI to senior stakeholders. Carry out broader data analysis to support lending strategy, risk appetite, and overall portfolio profitability. Respond to ad-hoc requests from around the business, investigating specific risk issues and providing insight to support business decisions. Key Skills and Attributes Strong data extraction and analysis skills with the ability to analyse and interpret large datasets. Strong organisational skills with the ability to manage multiple priorities and meet deadlines. Ability to translate complex analysis into clear, non-technical insights to present to senior leadership. Proficiency with using advanced analytics tools (e.g. SQL, SAS, Python) and recent experience working with large data sets. Proficiency with MS Office software (Excel, Word, PowerPoint, Power BI). Proactive approach to work and problem solving. Strong attention to detail and accuracy. Excellent written and verbal communication skills. Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
MERJE Ltd
Decision Systems Lead Up to £60K Once a week in Manchester/ London The Decision Systems Lead will be responsible for oversight and delivery of decision systems strategy configuration used within the business to drive and achieve positive outcomes for customers, partners, and the company. This role involves working in a dynamic, fast-paced environment, delivering significant change and book of work. Key Responsibilities: Lead the credit decisioning strategy deliveries to optimize customer, product, credit risk management, fraud prevention, customer acquisition, and retention. In-depth knowledge and hands-on experience with decisioning platforms, overseeing end to end change/delivery lifecycle i.e. the design, testing, and deployment of decision rules, scorecards, and strategies. Collaborate with wider technical teams to optimize the customer experience as part of new and existing customer decisioning. Develop monitoring and tracking for decisioning platform i.e. key risk indicators (KRIs) to reduce latency and ensure decisioning aligns with the company's risk appetite. Engage with key stakeholders to present insights and drive strategic decisions. Facilitate the delivery of new business and existing customer strategies, incorporating long-term aspirations within the decision system designs. Design decision waterfalls to capture exceptions and leaks within logic and create monitoring of decision flows. Key Requirements: Proven experience maintaining and configuring decisioning systems/platforms in credit cards or consumer finance. Strong understanding of credit risk, fraud prevention, KYC compliance and underwriting. Experience with Zoral or similar platforms (Powercurve, TRIAD, Pega, etc.). Familiarity with APIs (TransUnion, Experian, CIFAS, etc.) and credit processing platforms (TSYS/TS2). Ability to lead decision systems change with cross-functional teams and influence senior stakeholders. SQL or Python skills for data interrogation and prototyping. Able to code to a high standard/level - JavaScript strongly preferred. Strong analytical skills and comfort with data-driven decisioning. Experience in strategy deployment via CI/CD pipelines and governance. Send your CV to Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
Decision Systems Lead Up to £60K Once a week in Manchester/ London The Decision Systems Lead will be responsible for oversight and delivery of decision systems strategy configuration used within the business to drive and achieve positive outcomes for customers, partners, and the company. This role involves working in a dynamic, fast-paced environment, delivering significant change and book of work. Key Responsibilities: Lead the credit decisioning strategy deliveries to optimize customer, product, credit risk management, fraud prevention, customer acquisition, and retention. In-depth knowledge and hands-on experience with decisioning platforms, overseeing end to end change/delivery lifecycle i.e. the design, testing, and deployment of decision rules, scorecards, and strategies. Collaborate with wider technical teams to optimize the customer experience as part of new and existing customer decisioning. Develop monitoring and tracking for decisioning platform i.e. key risk indicators (KRIs) to reduce latency and ensure decisioning aligns with the company's risk appetite. Engage with key stakeholders to present insights and drive strategic decisions. Facilitate the delivery of new business and existing customer strategies, incorporating long-term aspirations within the decision system designs. Design decision waterfalls to capture exceptions and leaks within logic and create monitoring of decision flows. Key Requirements: Proven experience maintaining and configuring decisioning systems/platforms in credit cards or consumer finance. Strong understanding of credit risk, fraud prevention, KYC compliance and underwriting. Experience with Zoral or similar platforms (Powercurve, TRIAD, Pega, etc.). Familiarity with APIs (TransUnion, Experian, CIFAS, etc.) and credit processing platforms (TSYS/TS2). Ability to lead decision systems change with cross-functional teams and influence senior stakeholders. SQL or Python skills for data interrogation and prototyping. Able to code to a high standard/level - JavaScript strongly preferred. Strong analytical skills and comfort with data-driven decisioning. Experience in strategy deployment via CI/CD pipelines and governance. Send your CV to Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly.
