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- Tasks: Develop and integrate ML solutions for FinCrime products while analysing large datasets.
- Company: Leading fintech company in London with a focus on innovation.
- Benefits: Competitive compensation, equity packages, and unlimited holidays.
- Why this job: Join a dynamic team tackling fraud prevention in the exciting world of fintech.
- Qualifications: Experience in ML at fintech startups and proficiency in Python and SQL.
- Other info: Hybrid work environment with opportunities for growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company in London seeks a Machine Learning Engineer to develop and integrate ML solutions for its FinCrime products. The role involves analyzing large datasets, supporting various Crypto products, and collaborating cross-functionally.
Candidates should have experience in ML at fintech startups, proficiency in Python, SQL, and various ML tools, and a willingness to work in a hybrid environment.
The company offers competitive compensation, equity packages, and unlimited holidays.
Senior ML Engineer - Fraud Prevention & FinCrime (Remote) in London employer: MoonPay
Contact Detail:
MoonPay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Fraud Prevention & FinCrime (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with ML. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to fraud prevention or FinCrime. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've tackled real-world problems using ML tools. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Engineers like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Engineer - Fraud Prevention & FinCrime (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML, especially in fintech. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects and tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about fraud prevention and FinCrime. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Technical Skills: Since we’re looking for someone proficient in Python, SQL, and various ML tools, make sure to mention these skills prominently. If you’ve worked on any cool projects or have certifications, include those too!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at MoonPay
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to fraud prevention and financial crime. Be ready to discuss specific algorithms you've used in past projects and how they can be applied to the fintech space.
✨Showcase Your Data Skills
Since you'll be analysing large datasets, prepare to talk about your experience with Python and SQL. Have examples ready that demonstrate how you've extracted insights from data and the impact it had on your previous roles.
✨Collaboration is Key
This role involves working cross-functionally, so be prepared to discuss how you've collaborated with other teams in the past. Highlight any experiences where your teamwork led to successful project outcomes, especially in a hybrid work environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and its products. Inquire about their current challenges in fraud prevention or how they envision the future of their Crypto products. This shows you're not just interested in the job, but also in contributing to their mission.
