Join us as a Financial Crime Data Scientist
- You’ll design and implement data science tools and methods which harness our data in order to drive market leading financial crime detection capabilities
- We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data
- This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
What you'll do
As a Financial Crime Data Scientist, your day will be a blend of strategic thinking, hands-on data work, and collaboration with cross-functional teams to deliver impactful, data-driven solutions.
You’ll also be:
- Working with complex datasets to parameterise and test newly created transaction monitoring rules in response to emerging threats
- Identifying improvement opportunities to tune detection analytics using transaction monitoring performance data
- Working collaboratively with other financial crime data scientists and domain specialists to develop and enhance models, in order to more accurately and efficiently detect financial crime
- Using feature engineering to distinguish between normal and unusual customer behaviour, and presenting the findings to show how we can mitigate the risk through transaction monitoring
- Creating, managing, and maintaining impactful dashboards and visualisations to communicate actionable insights
The skills you'll need
You’ll ideally have a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science, or solid experience working with data. We are looking for someone who is able to apply their academic knowledge to real world problems. It’ll be highly beneficial if you have experience with statistical modelling and machine learning techniques, in a professional or personal project setting.
You’ll also demonstrate:
- You’re an analytical thinker who is confident with complex data requirements and working with multiple datasets
- Logical problem solving skills, unafraid to get stuck into problems and try different solutions, even if the path to solve them is unclear
- Innovative attitude, someone who can bring fresh ideas and is unafraid to challenge the status quo
- Strong technical data capabilities, good knowledge of data science and the ability to apply the knowledge to the world of financial crime detection
- You’re passionate about driving down financial crime and reducing harm. You enjoy solving complex problems and are excited to learn and explore new ideas
Hours
35
Job Posting Closing Date:
27/03/2025
Ways of Working:Remote First
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What We Do
We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.
