Fraud Prevention Data Analyst
2 weeks ago
Joinus as a Fraud Prevention DataAnalyst
- You’llapply a data driven approach to identify, assess, mitigate, monitorand report on fraud risk so we can manage any threat offraud
- Importantly,you’ll also monitor and evaluate the performance of our fraudprevention processes andstrategies
- Thisis a critical role where you’ll be responsible for promoting aculture that helps us manage fraud risk effectively within thebusiness
Whatyou'lldo
Inyour new role, you’ll assess and understand external fraud risksassociated with our business activities, while reviewing anddeveloping processes to help mitigate those potential fraudrisks.
You’llalso:
- Evaluatenew data sources andintegrate theminto our existing strategies, so wecan optimise our ability to prevent fraudactivity
- Provideongoing, in-depth analysis that will identify existing and emergingfraud trends which will influence business decisionmaking
- Buildand maintain strong internal and external business relationships,sharing information and data to enhance our fraud preventioncapability
- Demonstratesubject matter expertise which will lend itself to the developmentof new products, systems and processes across the business
Theskills you'llneed
We’relooking for someone who has strongtechnical and numerical skills, withexperience in using risk management tools and techniques fraudprofiling score systems, data modelling, data mining andbehavioural scoringsystems.
Aswell as this you'll also have provenexperience in developing fraud strategies utilising fraud profilingtools such as Falcon, Arcot, Threatmetrix orARIC.
You’llalsohave:
Provenexperience inapplying statistical modelling and evaluation techniques to thedevelopment of fraud risk preventionstrategies
Proficiencyin data manipulation tools such as SAS, SQL, Python orsimilar
Adegree level qualification in a numericdiscipline like Mathematics, Statistics or OperationalResearch
Strongdatabase management skills and other programming languages, andproven experience in interpreting management information(MI)
Experienceof data visualisation tools such asTableau
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