Financial Crime Data Scientist

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

Job Posting Closing Date: