Website GBG

***Whilst primarilly remote this role will require some office attendance – at our London hub, or our Chester hub. Please only apply if you are able to attend either of these locations.***

About GBG

GBG is the leading expert in global digital identity. We combine our powerful technology, the most accurate data coverage, and our talented team to deliver award-winning location intelligence, identity verification, and fraud prevention solutions.

With over 30 years’ of experience, we bring together a team of over 1,250 dedicated experts with local industry insight from around the world to make it easy for businesses to identify and verify customers and locations, protecting everyone, everywhere from fraud.

Why you should be@GBG

We make the world a safer place
We trust each other and win together
We are local experts in a global business
We want you to be yourself
We grow when you grow

The Team

A fantastic opportunity to work with an incredible team and on the bleeding edge of technology. Our identity fraud products are market-leading globally and are pivotal to our strategy for growth.

The Role

As a Fraud Analyst, you will contribute to GBG’s growing Origination Fraud Propositions, with a particular focus on the development of our Global Intelligence Consortium, known as GBG Trust. You will be responsible for analysing global data, and providing insights to customers that achieve our mission of building trust in a digital world.

What you will do

In-depth analysis of customer data to investigate suspicious behaviour, anomalies, trends and patterns to identify possible fraud
Work with customers to make recommendations and provide insight, which allows them to take action against fraud
Work with data that helps secure customer wins by showing the value of GBG Trust
Design and implement fraud detection and prevention rules, and risk-scoring models to tailor/enhance the solution
Keep abreast of market and industry developments as well as fraud vectors to identify new trends and types of fraud as they develop
Support the development of GBG’s origination fraud portfolio, working closely with the product team to continually enhance it.


What We’re Looking For

Experience with one or more of:
o   Investigation and decisioning of Fraud Cases within a Fraud Department

o   Design and implementation of Fraud Prevention/Detection Business Rules

o   Building of Fraud Risk scoring models

o   Presentation of complex data to customers and senior stakeholders

Good understanding of various fraud detection techniques for Application and In-Life Fraud
Ability to communicate well with customers and explain complex data
Good attention to detail
Logical thinker, able to convert real-world scenarios into logic that can be encompassed into fraud prevention rules
A curious mindset, able to question data to identify new trends, patterns and behaviours that might indicate fraud
Self-motivated, driven to succeed, comfortable with prioritising and managing own workload, seeking out guidance and support when required.
A hands-on attitude, to dive into highly technical, complex problem-solving tasks.

To find out more

Click here to see more about what’s important to us, including our flexible work policy, our commitment to ESG, I&D and much more.

To chat to the Talent Attraction team and find out more about our benefits, drop an email to [email protected] and we’ll be in touch!

Make life@GBG work for you.

Diversity & Inclusivity:

As an equal opportunity employer, we are committed to providing fair opportunities for everyone regardless of age, gender race/ ethnicity, sex, religion, age, nationality, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Everybody is welcome and our inclusion and diversity programme, be/yourself, is designed to ensure that you can thrive. Please inform your GBG Talent Attraction Specialist if you require any reasonable adjustments to the interview process.

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