WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.
About this opportunity
We're on a journey to build the bank of the future, and we need your help! We’re continuing our extensive transformation Programme, recreating what a bank is from the inside out. Become part of our diverse team, and you'll experience a rare opportunity to impact the lives of more than 26 million customers through brands including Lloyds Bank, Halifax, Bank of Scotland and Scottish Widows. We need people who can make this transformation a reality.
Join our Economic Crime Intelligence Lab in a key Data Science role where you’ll see how a leading FinTech fights fraud whilst ensuring continuity of the service our customers expect. You're going after the fraudsters, the social engineering con-artists, and money mules. In turn, this helps to protect customers and wider society from the harm caused by fraud and scams.
You'd be using your skills in Python to update and maintain our machine learning libraries underpinning our fraud controls. You'll work with new technologies (Spark, Hadoop, Pyspark), toolsets, and techniques to embed the latest solutions into our products. Your skills will, in time, be utilized within wider Economic Crime areas with exposure to even wider technologies and learning.
Ultimately, you'll get to identify innovative solutions within machine learning and use statistical analysis to detect and prevent fraud against our customers and the bank. Your input will help our fraud detection become ever more sophisticated through improved accuracy, i.e., less interruption of genuine customer transactions. You’ll also have very well-defined success metrics (e.g., detection rate, alert rate) and an abundance of meaningful, complex data for you to get stuck into.
What you’ll need
* Appropriate educational background in a numerical or computing-based subject, or significant relevant experience.
* Practical experience of using Python in real-world business applications.
* Understanding and practically applying Machine Learning techniques within a commercial/industrial context.
* Exhibit a flair for statistical analysis and innovation in its use and application.
And any experience of these would be really useful
* Subject Matter Expert in Fraud Data, Fraud Detection Systems and Fraud Modus Operandi (MO’s)
* Distributed computing frameworks
* Previous experience using machine learning to tackle fraud detection problems
* Contributions to open-source projects
About working for us
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We’re committed to creating a consciously inclusive workplace where our colleagues can be themselves, thrive, and perform at their best.
As an inclusive employer, we offer Workplace Adjustments for colleagues with a disability (which may include long-term health and neurodivergent conditions) where it is reasonable to do so. This could include flexibility with regards to office attendance, location, and working pattern.
We also provide adjustments that are reasonable throughout the recruitment process to reduce or remove barriers for applicants with a disability, long-term health condition or neurodivergent condition. If you’d like an adjustment to the recruitment process just let us know.
We also offer a wide-ranging benefits package, which includes:
* A generous pension contribution of up to 15%
* An annual performance-related bonus
* Share schemes including free shares
* Benefits you can adapt to your lifestyle, such as discounted shopping
* 28 days’ holiday, with bank holidays on top
* A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses, and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
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