Digital Fraud and Security Manager - Lloyds Bank - London

Lloyds Banking Group (LBG) is the UK’s leading digital bank, with over 12 million active online customers across our three main brands, as well as the UK’s biggest mobile bank. With an increasing demand for banking services via our mobile applications, desktop service and SMS, we continue to invest heavily in technology. Our vision in Digital Banking is to be a pioneer in digital relationship banking and recognised as the best in Europe in the way use digital technologies to serve our customers simply, seamlessly and safely across our channels.

If you’re looking for a challenging role that matters and you want to take your career to the next level in a fast moving, innovative environment, there’s never been a better time to join us…

Group Digital is playing a key part in the development & delivery of new cloud computing technology in order to effectively use data science & machine learning tools across the Group. Delivery of such tools will support the transformation agenda of the Group. The use of big data will be critical to transformation of customer propositions whilst keeping them secure as they switch towards digital technologies.

This is a unique opportunity for a credible, ambitious Data Scientist to join our team at the early stages of implementing a new Big Data-based data science environment within Digital Security and Fraud. We’re accountable for taking requests for data, insights and information, helping to optimise the performance of our fraud and security controls, both those developed internally and those provided by third parties and identifying innovative solutions within machine learning and statistical analysis to create an improved digital experience for our customers and business processes. You’d join a fast-paced and agile team, working at the heart of our business agenda and benefitting from considerable investment.

In terms of your experience, we’ll be looking for you to have a background in Statistical Analysis, with previous experience delivering and/or applying Machine Learning techniques in a commercial/industrialised manner, as well as programming skills in Java and Python. It would be advantageous if you additionally have an understanding of Online Fraud and detection strategies, Big Data, Web Development, JavaScript and Retail Banking experience.

Key accountabilities:
Support the theme in the on-going development of the Security and Fraud Strategic Roadmap Ensure compliance to all policies such as Group Fraud Policy, ITEC standards and sourcing policies Engage business stakeholders to identify future requirements and opportunities to maximise fraud controls whilst delivering a world class customer experience Identify opportunities for optimisation of business processes related to fraud detection and prevention, in Digital Banking Help create a Centre of Excellence in the area of Digital Banking Fraud Data Analytics, through defining and delivering best practice technologies, processes and framework Shape the requirements and specifications of a cross-channel continuous authentication and risk assessment platform for the group Our culture in Group Digital brings together smart, talented, people from a diversity of backgrounds. Your ability to connect with your team, colleagues within Group Digital and work collaboratively across multiple stakeholder groups will be critical to your success.

In return for your expertise, you'll enjoy our total commitment to your ongoing personal and professional development. Making you feel valued is important, so we offer a highly competitive salary and rewards package and as one of the first major employers to promote flexible working to all its employees, we also understand the importance of good work-life balance.

So if you’ve the skills and background we’re seeking, then we’d love to hear from you…

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