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We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. We’re flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances.
Please discuss the detail of the working pattern options for the role with the hiring manager.

What will you be doing?
• Ensuring effective scoring and rule performance management for fraud detection tools ensuring optimal False Positive rates and Key Performance Indicators

• Producing the design, development and deployment of analysis and monitoring to prevent and detect fraud, responding to emerging trends and attacks
• Being a data subject-matter-expert in the evaluation and development of new fraud systems/ tools and their implementation
• Supporting the delivery of predictive analytics and models to allow the development of new Fraud Management solutions and better understand fraud control strategies
• Assisting stakeholders to articulate their fraud system strategy requirements/ queries - guiding and challenging where appropriate
• Absorbing large quantities of data at speed, making the right decisions quickly with limited data availability
• Using your sound good knowledge of data analysis, theory and multivariate statistical techniques (e.g. Logistic Regression)

What we’re looking for:
• A degree or equivalent experience in Statistics, Mathematics, Operational Research or related area or significant relevant experience

• The working knowledge of SAS/ SQL
• Experience of working in a data intensive environment
• Building predictive models utilising a standard statistical package SUS as SAS (preferred) for large financial institutions

Skills that will help you in the role:
• Knowledge of Fraud Risk systems/ controls and their operating environments

• Being able to understand issues relating to card and non-card fraud
• Understanding of each fraud type and their typical attributes and the key drivers of fraud losses

Where will you be working?
Northampton was the birthplace of Barclaycard in 1966 and we've been based in Pavilion Drive since the building opened in 1997.
We purchased the building from the landlord in early 2018 as a sign of our commitment to investment in Northampton. Plans to further develop this Campus-style location are under way to allow for a real collaborative work environment. Based just off the A45 it is easily accessible by both car and bus routes.