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- Tasks: Design and implement real-time ML features to combat money laundering.
- Company: Global tech leader focused on compliance and innovation.
- Benefits: Competitive salary, flexible work options, and career advancement opportunities.
- Why this job: Join a dynamic team and make a real difference in crime detection.
- Qualifications: Experience in Object Oriented Programming and strong communication skills.
- Other info: Agile environment with collaborative culture and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
A global technology company is seeking an engineer for the AML Risk team to prevent money laundering and ensure compliance. You will work in an Agile environment, collaborate closely with product managers and data scientists, and design impactful features to maximize crime detection efficiency.
Ideal candidates have a strong product mindset, excellent communication skills, and experience in Object Oriented Programming, CI/CD, and relational databases. This role offers the chance to make a significant impact in a dynamic team.
AML Risk Engineer: Real-Time ML Detection employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AML Risk Engineer: Real-Time ML Detection
✨Tip Number 1
Network like a pro! Reach out to people in the AML and tech space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about Object Oriented Programming and CI/CD processes. We want you to shine when discussing how you can contribute to real-time ML detection!
✨Tip Number 3
Show off your product mindset! Think about how you can design features that enhance crime detection efficiency. Bring examples of past projects where you made a significant impact to the table during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our dynamic team.
We think you need these skills to ace AML Risk Engineer: Real-Time ML Detection
Some tips for your application 🫡
Show Your Passion for AML: When writing your application, let us see your enthusiasm for anti-money laundering. Share any relevant experiences or projects that highlight your commitment to compliance and crime detection.
Highlight Your Technical Skills: Make sure to showcase your expertise in Object Oriented Programming, CI/CD, and relational databases. We want to know how your technical skills can contribute to our team’s success in real-time ML detection.
Communicate Clearly: Since excellent communication is key for this role, ensure your application is clear and concise. Use straightforward language to explain your ideas and experiences, making it easy for us to understand your fit for the position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity on our AML Risk team!
How to prepare for a job interview at Wise
✨Know Your AML Basics
Before the interview, brush up on your knowledge of Anti-Money Laundering (AML) principles and regulations. Understanding the key concepts will not only show your interest in the role but also help you articulate how your skills can contribute to the team's goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Object Oriented Programming, CI/CD, and relational databases. Bring examples of past projects where you've applied these skills, and be ready to explain your thought process and the impact of your work.
✨Emphasise Collaboration
Since this role involves working closely with product managers and data scientists, highlight your teamwork experiences. Share specific instances where you successfully collaborated on projects, focusing on how you communicated effectively and contributed to achieving common goals.
✨Prepare for Agile Discussions
Familiarise yourself with Agile methodologies, as this is a key aspect of the role. Be ready to discuss how you've worked in Agile environments before, including your understanding of sprints, stand-ups, and retrospectives, and how they can enhance project outcomes.
