Senior Product Manager - Machine Learning
London
Checkout.com
Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.
We're Checkout.com
Checkout.com is one of the most exciting and valuable fintechs in the world. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Binance and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.
About the Role:
As a Machine Learning (ML) and Data Science (DS) Product Manager, you'll help steer the data strategy, gather product requirements, and oversee the execution of key initiatives at Checkout.com ranging from developing innovative algorithms for fraud detection, transaction forecasting, disputes classification, etc.
You enjoy and have experience in bringing the vision of a product to market and/or shipped world-class products serving internal teams. You'll have the opportunity to work on features and products ranging from algorithm design, getting involved in testing and purchasing new data sources to improve our algorithms performance (transactions data, personal data, device data, behavioural data), API design, and building a front-end to explain to our merchants the capabilities of ML. Your day will be spent gathering feedback from the Data Science and Machine Learning Engineering teams, other engineering and data teams, end customers, third-party providers, discussing technical solutions and removing any blockers for the teams to deliver algorithms serving our merchants or internal customers. From creating stories, building diagrams and prioritization, you'll join an experienced and diverse team with a track record of adapting quickly, delivering scalable products and making customers happy.
Our ideal Product Manager has led technical products, ideally products involving machine learning, worked with multiple internal data teams, always thinks from the customer’s perspective, communicates sophisticated concepts in a simple way, and is passionate about payments.
What we stand forAt Checkout.com, everything starts with our values, including the experience we offer our people. #AspireWe supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences. #ExcelWe don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards. #UniteWe're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together. Want to see us in action? Take a peek inside here. More about Checkout.comWe empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion. We believe in equal opportunitiesCheckout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Checkout.com is one of the most exciting and valuable fintechs in the world. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Binance and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.
About the Role:
As a Machine Learning (ML) and Data Science (DS) Product Manager, you'll help steer the data strategy, gather product requirements, and oversee the execution of key initiatives at Checkout.com ranging from developing innovative algorithms for fraud detection, transaction forecasting, disputes classification, etc.
You enjoy and have experience in bringing the vision of a product to market and/or shipped world-class products serving internal teams. You'll have the opportunity to work on features and products ranging from algorithm design, getting involved in testing and purchasing new data sources to improve our algorithms performance (transactions data, personal data, device data, behavioural data), API design, and building a front-end to explain to our merchants the capabilities of ML. Your day will be spent gathering feedback from the Data Science and Machine Learning Engineering teams, other engineering and data teams, end customers, third-party providers, discussing technical solutions and removing any blockers for the teams to deliver algorithms serving our merchants or internal customers. From creating stories, building diagrams and prioritization, you'll join an experienced and diverse team with a track record of adapting quickly, delivering scalable products and making customers happy.
Our ideal Product Manager has led technical products, ideally products involving machine learning, worked with multiple internal data teams, always thinks from the customer’s perspective, communicates sophisticated concepts in a simple way, and is passionate about payments.
About you:
- Prior hands-on Product experience, from discovery, to delivery to operations (Product life cycle);
- You’ve shipped algorithms before or products heavily involving data
- You’ve delivered products with great user experiences
- You’ve led products that need coordination of many customers, cross functional teams and technical teams
- You have bias for action, use make data to make decisions and whatever-it-takes approach to ensure that your product and team are successful
- Proven ability to work with and become a subject matter expert in complex products
Nice to have:
- Familiarity with SQL, Looker and Python
- FinTech or payments experience
- Understanding of payments fraud risk
What you'll be doing:
- Ownership of ML data products across their entire lifecycle
- Partner with Sales and Commercial to understand customers’ needs
- User story writing, participation in team ceremonies, removing requirement blockers for data scientists and machine learning engineers
- Provide ongoing support to the Data Science and Machine Learning Engineering teams
- Partner with third-party data providers to test and acquire new data sources for our algorithms
- Set and maintain the product vision and strategy
- Collecting, understanding and conveying business requirements for given projects
- Finding and presenting solutions to large and/or complex needs
- Producing business and functional requirements as well as inputting into technical requirements
- To develop, optimise and document business processes
- To conduct day to day management of formal change requests in relation to changes in project scope
- Highlight, report and manage project risks and issues
What we stand forAt Checkout.com, everything starts with our values, including the experience we offer our people. #AspireWe supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences. #ExcelWe don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards. #UniteWe're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together. Want to see us in action? Take a peek inside here. More about Checkout.comWe empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion. We believe in equal opportunitiesCheckout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Tags: APIs Classification Data strategy Engineering FinTech Fraud risk Looker Machine Learning Python SQL Testing
Perks/benefits: Career development Conferences Team events
Region:
Europe
Country:
United Kingdom
Job stats:
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Categories:
Leadership Jobs
Machine Learning Jobs
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