At a Glance
- Tasks: Oversee risk models using ML/AI for fraud detection and AML/ATF.
- Company: Revolut, a fast-paced and innovative fintech company.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Engage with senior leadership and drive impactful improvements.
- Why this job: Join a dynamic team tackling real-world challenges with cutting-edge technology.
- Qualifications: Experience in model risk management and strong analytical skills.
The predicted salary is between 70000 - 85000 £ per year.
Revolut is seeking a Model Risk Manager in the UK to strengthen the oversight of risk models across functions, products and regions.
You’ll apply ML/AI techniques to computer vision, AML/ATF and fraud detection, helping the business stay ahead of emerging threats while enabling scalable growth.
You’ll engage with senior leadership to interpret model outputs, validate methodologies and drive improvements across the model lifecycle in a fast-paced, innovative environment.
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Model Risk Manager – ML/AI & Fraud Detection (UK) employer: Revolut
Revolut is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the financial sector. With a strong emphasis on employee growth and development, we offer unique opportunities to shape regulatory practices while collaborating with industry leaders in a fast-paced environment. Join us in our London office to be part of a forward-thinking team that values compliance and drives the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Model Risk Manager – ML/AI & Fraud Detection (UK)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Model Risk Manager – ML/AI & Fraud Detection (UK)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Revolut, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Revolut. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Revolut
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Revolut!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
