At a Glance
- Tasks: Analyse customer data to enhance AML and fraud detection models.
- Company: Hawk, a leading firm in risk management and compliance.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and regulatory excellence.
- Why this job: Make a real difference in combating fraud while working with cutting-edge data science techniques.
- Qualifications: Experience in data science, strong analytical skills, and a passion for problem-solving.
The predicted salary is between 59400 - 72600 £ per year.
Hawk is seeking a Customer Data Scientist in London to work directly with customers on AML and fraud detection models.
Tune detectors, perform deep analyses, and present findings to risk and compliance stakeholders.
Translate complex results into actionable business value while balancing detection quality with false positives in production.
You will collaborate with regional partners, own model defensibility, and ensure regulatory readiness while maintaining transparency with customers.
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Senior Customer Data Scientist - AML & Fraud Detection in London employer: AItoolnavio
At Luma, we are committed to fostering a dynamic and innovative work environment where cutting-edge research meets practical application. As a Research Scientist/Engineer focusing on Reinforcement Learning Infrastructure, you'll have the opportunity to work with state-of-the-art technology while collaborating with a team of experts dedicated to pushing the boundaries of AI. Our culture promotes continuous learning and growth, ensuring that you can advance your career while contributing to meaningful projects that shape the future of intelligence.
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We think this is how you could land Senior Customer Data Scientist - AML & Fraud Detection in London
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We think you need these skills to ace Senior Customer Data Scientist - AML & Fraud Detection in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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