About MoonPay 🌖💸
Hi, we’re MoonPay. We’re here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratizing technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.
What we do
We’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products — just take a look on Trustpilot.We’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.But that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account.
It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.So whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.
Locations Supported 🌍
Lisbon, Madrid, Barcelona, Krakow, Bucharest, Cape Town
About the Opportunity ✍️
We’re looking for a senior data scientist who understands the full life cycle of training machine learning models and deploying them into production. This person can help us build, expand, and maintain our suite of products which support MoonPay’s vital fraud and payment risk detection functions. In this role, you’ll be a part of the wider data team, but work closely with payment risk stakeholders to devise a data driven strategy and build solutions that aid in detecting and protecting the company from fraud and payment risks.
What you will do…
Improve existing fraud detection machine learning models by adding new features or employing innovative modelling techniques for optimisation
Build new machine learning models that target fraud and risk at various points in the customer funnel
Work closely with the Payment Risk team and senior stakeholders to identify areas of opportunity which could inform the overall payment risk strategy
Conduct deep dives into our various systems for fraud detection to identify areas of improvement and optimisation
Provide a strategic vision on how to make machine learning a cornerstone to MoonPay’s business
Work closely with Machine Learning Engineers to ensure your models are deployed correctly and monitored in production
As a senior member of the data team you will also be expected to:
Independently lead projects from end-to-end.
Prioritise and manage competing tasks and deadlines effectively, aligning with goals and adapting to changing priorities.
Contribute to designing our overall data science platform and best practices
Be proactive in spearheading initiatives to support stakeholders and business partners around the organisation.
About You 🙋
You have a proven track record of working with machine learning models in a production context, tackling real business problems, ideally in a fast moving company. Bonus points if you have worked within financial crime or payments areas before and have a high level understanding of fraud detection and prevention technical challenges that arise in these areas. You also have a self-starter mindset and enjoy exploring ambiguous business problems in order to come up with the best technical solutions.
You recognise that machine learning models are not the best path to every business problem and you are able to balance complexity and simplicity whenever required.Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…B - Be HumbleL - Lead with EmpathyO - Own ItC - Communicate with ClarityK - Kaizen
What you will need…
You have a proven track record of building, deploying and maintaining machine learning models in production. While you will be supported by a team of ML Engineers for deployment, the ideal candidate will have an in-depth understanding of the end to end ML lifecycle
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have advanced knowledge of SQL and Python
Willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.
You have
Experience with cloud providers, such as GCP, AWS, or Azure (we are a GCP house)
3+ years of experience in Data Scientist role within a similar environment
Bonus points if you have:
Worked with DBT, Google BigQuery and Vertex AI
Experience working in fintech, start-ups or scale-ups, especially in fraud/financial crime or payments
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.
Perks:
Equity package 📈Unlimited holidays 🏝Paid parental leave 👶 🍼Annual training budget 💻Home office setup allowance 🪑Monthly budget to spend on our products 💰Working in a disruptive and fast-growing industry where the possibilities are endless 🚀Freedom, autonomy and responsibility 💪Commitment to diversity:At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.
That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities.
Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.
