This range is provided by Marcura. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range As a Fraud Data Analyst, you will play a critical role in detecting, analysing, and mitigating fraudulent activities across card and wire transactions. You will work closely with the Transaction Monitoring … to ensure the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative … of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential card fraud. o Develop and implement data-driven fraud detection rules and models. o Analyse false positives to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: Join Marcura as Fraud Data Analyst – A Remote First Opportunity with Flexible Work Culture About Us Marcura was founded 23 years ago by two visionary entrepreneurs. Our mission has always been to revolutionize digital processes within the global shipping industry. We achieve this by putting our customers first and … for continued success. Now, we’re looking for talented individuals who are as committed to excellence as we are to join us in this exciting journey. About the Role: Fraud Data Analyst As a Fraud Data Analyst, you will play a critical role in detecting, analysing, and mitigating fraudulent activities across card and wire transactions. You … to ensure the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative More ❯
About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud … data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior FraudAnalyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraud trends, develop, and implement effective … fraud detection strategies, and provide expert guidance on fraud and scams prevention. You will collaborate with client teams to manage multiple priorities and deliver high-quality solutions. Acting as a subject-matter expert, you will address third-party fraud, APP scams, and money mules, ensuring clients receive the best advice and support in mitigating fraud risks. More ❯
and comprehensive benefits. Your Mission The Customer Risk Monitoring team is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from financial risks, including fraud, money laundering, and terrorism financing. Our goal is to minimise financial losses and risk exposure while supporting and maintaining our customers' trust and ensuring compliance with regulatory requirements. We … data-informed decisions Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud and AML KPIs, helping the business plan and course-correct with confidence Promote a culture of data-driven decision-making across the organisation Your Story We're looking for … a Senior Data Analyst with a strong analytical foundation and a passion for tackling complex, ambiguous problems in the financial risk domain. Must-haves 4+ years of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A More ❯
Office based role, working out of either London or Milton Keynes office Are you a seasoned fraud expert with payments acquiring experience and a passion for tackling complex challenges in the fast-evolving world of fintech? Viva.com is on the lookout for a dynamic Senior FraudAnalyst to be part of our innovative UK Risk team. This … is your opportunity to shape fraud prevention strategies at a leading European e-money institution, where your expertise in card payments, digital transactions, and fraud analytics will make a tangible impact. Step into a role that offers ownership, innovation, and the chance to work with some of the brightest minds in the industry. Join us and help redefine … to All-in-One business solutions, empowering merchants to adopt cutting-edge technology seamlessly and scale their business with ease. Role Overview: We are seeking a highly skilled Senior FraudAnalyst to join Viva.com’s UK Risk function. As a leading European fintech and regulated e-money institution, Viva.com provides advanced payment and acquiring solutions to a wide More ❯
see one, and the judgement to know that 'can' doesn't always mean you 'should'. What you can expect You'll be joining the team as a Senior Analyst in Financial Crime Models Management, specialising in fraud monitoring. Reporting to the FinCrime Models Management Lead, you'll be a part of a fast-growing business that is … Payment Screening tools are effective and robust. The team supports the business day-to-day whilst also being a key participant in strategic projects. We are looking for a Fraud Models specialist to design, develop and tune rules and machine learning models targeting fraudulent transactions. You will be familiar with the fraud risks across a variety of banking … grow in your role, enriching your FinCrime knowledge while developing more sophisticated FinCrime analytics and capabilities to identify potentially suspicious activity. This is a role for someone who understands fraud typologies and monitoring approaches with experience of working with vendors to deliver an essential part of our ambitious, growing organisation. You will understand the impact of data quality issues More ❯
Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE + benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What this means in layman's terms is that … the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing Driving application fraud strategy for a specific area of the business, being a point … of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget. Producing accurate and relevant fraudMore ❯
City, Birmingham, United Kingdom Hybrid / WFH Options
Virgin Money
Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE + benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What this means in layman's terms is that … the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing Driving application fraud strategy for a specific area of the business, being a point … of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget. Producing accurate and relevant fraudMore ❯
City, Manchester, United Kingdom Hybrid / WFH Options
Virgin Money
Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE + benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What this means in layman's terms is that … the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing Driving application fraud strategy for a specific area of the business, being a point … of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget. Producing accurate and relevant fraudMore ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Virgin Money
Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE + benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What this means in layman's terms is that … the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing Driving application fraud strategy for a specific area of the business, being a point … of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the Fraud loss budget. Producing accurate and relevant fraudMore ❯
a digital world where identity, trust, and ease coexist. Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect to combat fraud, facilitate digital transformation, and grow customer relationships. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to … identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. We are expanding our Fraud Intelligence Unit and need passionate fraud fighters to join our team. Reporting to the Global Fraud Intelligence Director, you will be responsible for the research, creation, and execution of BioCatch marketing and thought leadership content based on global fraud trend data that supports our sales and marketing programs. This includes analyzing BioCatch data from all geographies to identify key trends, uncover interesting insights More ❯
London, England, United Kingdom Hybrid / WFH Options
Starling Bank Limited
to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Work closely with the Fraud Strategy and Change, Fraud Risk, and Engineering teams to identify push payment fraud trends and use data analysis to propose solutions for prevention and transaction monitoring. Perform … warehouse using dbt. Perform descriptive analysis using Looker visualisations and dashboards. Minimum of three years of work experience in data analysis/statistical analysis Must have experience in fighting Fraud Strong experience with SQL Strong experience with handling data in Python Experience with (or willingness to learn!) dimensional modelling and dbt Familiarity with a BI tool such as Power More ❯
We are currently seeking a FraudAnalyst to work with our public sector client 6 months contract Excellent day rate inside IR35 Location: London/Hybrid The ideal candidates will have a proven FraudAnalyst background within public sector ideally holding active SC clearance. Skills & responsibilities: Review and triage fraud alerts from live service data. … Ensuring queues & workstreams are well maintained and sufficient time is allocated for priorities. Experience in the counter-fraud or financial crime space. Able to identify key trends and movements in data, as well as potential anomalies that require further investigation. Ability to work in a targeted and fast-moving environment. Demonstrable ability to manage and prioritise workload effectively, particularly More ❯