TRUST UNLOCKS OUR GREATEST POTENTIAL.

For decades, the clearing of payments remained unchanged and unchallenged. We asked, what if there was a better way? What if we could make banking infrastructure faster, safer, more reliable, and easier to access for all? Here is where you can think radically and responsibly to find the best solution.
What happens when you know you’re inherently trusted? Trust creates safety. Safety encourages you to be brave, to challenge, to fail, to try new things and to execute. At ClearBank everything revolves around trust. We’re not expected to earn it, but we are expected not to break it. We’re trusted to own it. To solve issues in the moment. To know a good risk when we see one, and the judgement to know that ‘can’ doesn’t always mean you ‘should’.

WHAT YOU CAN EXPECT

You’ll be joining the team as a Senior Analyst in Financial Crime Models Management, specialising in fraud monitoring. Reporting to the FinCrime Models Management Lead, you’ll be a part of a fast-growing business that is challenging the market and doing things differently.
Financial Crime Models Management is a small, growing team tasked with ensuring that the automated Transaction Monitoring and Payment Screening tools are effective and robust. The team supports the business day-to-day whilst also being a key participant in strategic projects.
We are looking for a Fraud Models specialist to design, develop and tune rules and machine learning models targeting fraudulent transactions. You will be familiar with the fraud risks across a variety of banking products. You will enjoy taking the initiative, working closely with data scientists, engineers and compliance teams to optimise the rules, enhancing the rule outputs to maximise efficiency and effectiveness.
Data is vital to ClearBank. We need it for everything from stopping terrorist funding, to better understanding our customers’ activity. We are looking for someone who appreciates the power of data and who will work alongside the data analytics gurus in the team to gain insights into normal and abnormal account behaviours, and develop rule health dashboards to proactively identify issues.
Soft skills are just as important as the technical ones, with exposure to technology and business teams. You will work with colleagues in the 1st and 2nd Lines of Defence as well as external vendors to ensure our anti-Financial Crime systems are effective and calibrated. There will be plenty of opportunity to grow in your role, enriching your FinCrime knowledge while developing more sophisticated FinCrime analytics and capabilities to identify potentially suspicious activity.
This is a role for someone who understands fraud typologies and monitoring approaches with experience of working with vendors to deliver an essential part of our ambitious, growing organisation. You will understand the impact of data quality issues in FinCrime processes and be watchful for opportunities to improve them.

Please refer the Job description for details