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    Java Developer - Fraud Technology. Help us Redefine the Future of Finance. at Barclays Bank PLC (Northampton, UK)
    Barclays Bank PLC Employer
    Northampton, UK
    Job Type
    Job Location
    Full Time
    Northampton, UK

    Job Description:

    Would you like to work for a team that are the good guys helping protect the consumer as well as the bank? Do you want to build software that handles billions of financial and non-financial transactions using supervised- and unsupervised- machine learning? Do you want to be part of the team that has targets of saving the business over £100 million in the next 2 to 3 years? Do you thrive in a fast-paced, intellectually and technically challenging environment? If the answer to all these is an emphatic “yes” then we have a role for you.

    Global Fraud Technology is responsible for shielding our customers and protecting our assets from fraudsters. Our goals are to protect the customer and keep them informed, use “best of breed” technology to leverage truly connected data and deliver the right decisions and outcomes.

    We aim to attract, develop and retain world-class software engineering talent and deliver global, flexible, cutting-edge capabilities to fight the battles of today and tomorrow.

    Opportunities in Fraud Technology, Northampton

    There are three teams that are responsible for the delivery of features and capabilities in the Global Fraud Technology Platform.

    Identification and Verification Team - A new global platform for the authentication/verification of customer identities, e.g. 2-factor auth using push notifications to mobile devices. You will be:

    • Designing "beautiful" RESTful APIs that serve many end-user use cases

    • Building Cloud microservices using the latest best-of-breed technology stack

    • Extending a highly-scalable, resilient and self-healing service-oriented architecture

    • Supporting business-critical high-performance (20 milliseconds response times) OLTP systems with 5 nines availability

    Fraud Detection Team - A new platform that is being built to detect fraud on transactions and events. You will be;

    • Using the latest technologies and driving their adoption in the bank (Kafka | AWS | Aerospike ...)

    • Creating a global platform that can make decisions on fraudulent activity within ~200ms, using Machine Learning models and dynamic business rules

    • Building scalable services that can handle ~1,000 transactions per second

    Case Management Team - Processing and management of dispute cases. Using cutting edge technologies, integration techniques and architectural patterns you will be;

    • Striving for unprecedented levels of case processing automation

    • Offering real-time case processing statistics and management information

    • Improving accessibility of case management platform to customers and internal systems 

    Various roles we are currently recruiting for:

    • Technical Lead Software Engineers

    • Senior Software Engineers

    • Software Engineers

    • Graduate Software Engineers

    What will you be doing

    • Analyse - help gather requirements and work closely with our analysts to define stories

    • Design - contribute to the design and architecture of the core platform

    • Build - develop scalable services for APIs | Kafka event process | batch exporting ...

    • Test - write thorough, robust, functional and performance tests

    • Support - ensure services are robust and run effectively in production with good operational dashboards

    • Improve - we are always looking to innovate and do things better, you will be encouraged to take on projects to do that

    • Methodology - work in product and delivery Agile scrum teams

    • Teach - mentor and guide other team members (where appropriate)

    • Ethos - be open, share knowledge, demo releasable work and be an advocate for software quality


    Flexible Hours
    Letter of Recommendation
    Note : This project is an external project, and it was posted on the platform by the Gradbee Team. We curate all the internships available across the internet by visiting company websites, and social networks like Facebook, LinkedIn, WhatsApp, Twitter etc. If you are the owner of this internship / project and need to get it removed, kindly mail us at