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Date live: Jan. 25, 2023

Business Area: COO & Functions

Area of Expertise: Operations

Reference Code: 90346745

Contract: Permanent

Fraud Analytics Analyst

As a Barclays Fraud Analytics Analyst you will be using  data analytics to protect our customers from fraud and scam attempts. By using data science, to maximise the performance of our Fraud risk systems and deriving optimal strategies. Directly driving the proactive detection of fraud while minimising the impact to our genuine customers and their transactions. You will also be communicating complex data, systems to stakeholders. 

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.

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?
•    Using data science and analytics to identify trends and key fraud indicators differentiating genuine and fraudulent behaviour
•    Ensuring effective score and rule performance management for fraud detection tools and 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 attack 
•    Identifying, monitor, escalate and respond to emerging fraud trends in MO, attack profile, customer profile  
•    Placing provision of fraud systems/data Subject-matter-expertise 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
•    Providing provisions of analytics to ensure vendor managed services, such as Fair Isaac and Experian are optimal

What we’re looking for:
•    Exposure to coding using SAS, SQL, Python, R, VBA or equivalent 
•    STEM Graduate (Science, Technology, Engineering or Mathematics) with degree or equivalent in statistics, mathematics, operational research 
•    Ability to absorb large quantities of data at speed, making the right decisions quickly with limited data availability
•    Analytical ability and experience of working in a data intensive environment

Skills that will help you in the role:
•    Knowledge of Fraud Risk systems and controls and their operating environments
•    Understanding of issues relating to card and non-card fraud
•    Knowledge 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.

#LI-Hybrid #cybersecurity

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