Senior Fraud Systems Data Analyst; Card Fraud
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-02-24
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Finance & Banking
Risk Manager/Analyst, Financial Consultant
Hybrid (Home / Manchester City Centre) Salary:
Up to £55,170 Want to change the world? Choose a career that makes a difference
At The Co-operative Bank we’re proud to be different. We’re proud of our values and ethics, and our unique, customer-led Ethical Policy that shapes everything we do. Born out of the co-operative movement over 150 years ago, you could say that doing the right thing has always been our thing. We don’t just help people with their money, but help people fight for justice and the causes they care about.
We put people at the heart of every decision we make and there’s never been a more important time for our Bank to stand up for the causes that matter most to our customers, colleagues and partner organisations.
We promote a hybrid working environment, which means you will work at our office in Manchester roughly once a month and then remotely from home. To enable you to work from home, you will need have a suitable office set up which includes a desk and a chair in a location which is free from the interruptions of day-to-day life.
The role:We are looking for an experienced Senior Fraud Systems Data Analyst (Card Fraud) to undertake a full range of analytical and fraud mitigation activities, including providing technical advice, to ensure that financial crime risks are effectively managed in line with business plans and prevailing conditions. The ideal candidate will have strong experience within Financial Crime Systems analysis, ideally with knowledge of Card Fraud systems and tools, with a broad knowledge of the financial market place and the legislative and regulatory issues affecting Financial Crime.
Key Accountabilities:- Define, build and maintain specific end user system solutions and risk reports to react rapidly to changing threats and risk profiles
- Monitor industry trends in financial crime transaction risk to review current internal strategies, define and recommend challenger strategies to minimise impact
- Evaluate and establish data sources to drive effective analytics and model development using current data
- Define, build and maintain flexible fraud data services and solutions to drive enhanced analytics capability
- Knowledge of relevant regulatory requirements and broad knowledge of fraud issues relevant to the role
- Recommend, implement and maintain specific financial crime detection strategies for all products and channels including score cut offs, policy rules and model strategies
- Pro-actively review performance using analytics, managing data selection, data processing and model development techniques to define, test and recommend challenger strategies to enhance system and operational performance.
- Support the daily / weekly refresh of profiling rules to maintain individual and system performance.
- Monthly analysis reporting and KPI’s covering all prevention and detection systems.
- Provide subject matter expertise in cross-functional and Bank wide projects to ensure they have appropriate security and are in line with the Financial Crime Management systems strategy and target architecture
- Support the Risk Specialists to manage third party relationships by monitoring and reporting performance of partner system performance to maintain at optimum level
Required:
- Experience in financial crime management and financial crime industry knowledge
- SAS knowledge preferred (or alternative data manipulation tools)
- Knowledge/experience of Card Fraud systems/tools
- Project delivery knowledge/experience, including document interpretation
- An analytical based degree and/or relevant experience (e.g. of appropriate operational experience of specialised area).
- Broad knowledge of the financial market place and the legislative and regulatory issues affecting Financial Crime.
- Ability to produce detailed and accurate information on a timely basis
- Ability to deal with a range of tasks, can work on own and prioritise workload
- Ability to mentor and support other members of the team
- Ability to analyse information / lead analysis effectively and create solutions…
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