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- Tasks: Lead AI model development to automate financial crime risk operations.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Make a real impact on global finance while tackling financial crime.
- Qualifications: Experience in AI, data science, and a passion for innovation.
The predicted salary is between 70000 - 90000 £ per year.
Company Description
Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
Job Description
We're looking for a Senior AI Data Scientist to join our Anti-Money Laundering (AML) Handling team in London. This role is a unique opportunity to work on the intelligence system at the core of our operational handling work. You'll help automate components of our operational systems and build solutions that reduce financial crime risk. What you build will have a direct impact on Wise's mission and millions of our customers.
About the Role:
The AML Handling team offers an exciting environment for applying cutting-edge Generative AI solutions. This team is dedicated to enhancing our financial crime mitigation operations through tooling and automation, aiming to streamline reviews and simplify the work of our operations staff. A core focus involves analyzing and automating significant parts of our operational workflows. Furthermore, the team develops GenAI-based tools to assist crime prevention teams in deflecting demand. The successful candidate will have the chance to directly contribute to Wise's mission by tackling these challenges and developing a comprehensive testing suite for our solutions.
Here's how you'll be contributing:
- End-to-End Automation: Lead the development and deployment of AI models designed to augment operational workflows, specifically targeting the automation of case comments, red flag generation, final review summaries, and data labeling.
Senior AI Data Scientist - AML Handling | London, UK employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist - AML Handling | London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Wise. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that showcases your AI and data science expertise. When you get the chance to chat with hiring managers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Be ready for the interview! Research Wise's mission and values, and think about how your experience aligns with their goals. Practise common interview questions and be prepared to discuss how you can contribute to their AML efforts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Wise team and making a difference in financial crime mitigation.
We think you need these skills to ace Senior AI Data Scientist - AML Handling | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Data Scientist role. Highlight your experience with AI and data science, especially in areas related to financial crime and automation. We want to see how your skills align with our mission at Wise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AML and how your background makes you a perfect fit for our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love candidates who can demonstrate their ability to tackle challenges, especially in the context of financial crime mitigation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Wise
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around Generative AI and its applications in financial crime mitigation. Be ready to discuss specific projects you've worked on that relate to AML handling and how your contributions made a difference.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about situations where you automated processes or improved workflows, and be ready to explain your thought process and the impact of your solutions.
✨Understand Wise's Mission
Familiarise yourself with Wise's mission to make money management easier and more affordable. Be prepared to discuss how your role as a Senior AI Data Scientist can directly contribute to this mission, particularly in reducing financial crime risk.
✨Ask Insightful Questions
Prepare thoughtful questions about the AML Handling team's current challenges and future projects. This shows your genuine interest in the role and helps you understand how you can fit into their vision and contribute effectively.