Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Role As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You'll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond. This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles's latest frameworks. You'll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless. You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset. About The Team You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow. With so many people using our products globally, we've become well-known for products that "just work" right out of the box and integrate almost by magic. That doesn't happen by accident, which is why we are committed to making sure our products aren't just intuitive, they're obvious What You'll Be Doing Design and build advanced applications and features for the Android platform Integrate with cloud APIs and local device communication protocols to control smart devices Write and maintain tests using frameworks such as JUnit and Espresso Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code Debug, profile, and optimize app performance across a range of Android devices Participate in design and code reviews, helping elevate code quality across the team Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them Contribute to roadmap planning, technical design, and release delivery We're Excited If You Have Professional Android development experience, ideally with Kotlin and/or Compose Strong experience shipping and maintaining production apps in the Play Store Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Experience working with IoT or networked device interactions is a big plus Familiarity with BLE, webs sockets, or MQTT protocols is a bonus Experience collaborating with cross-functional teams in agile environments Proficient in the Android development toolset Strong understanding of Android architecture, UI/UX patterns, and app lifecycle Excellent communication and debugging skills Bachelor's or Master's/PHD in Computer Science or related technical field Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
Apr 04, 2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Role As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You'll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond. This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles's latest frameworks. You'll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless. You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset. About The Team You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow. With so many people using our products globally, we've become well-known for products that "just work" right out of the box and integrate almost by magic. That doesn't happen by accident, which is why we are committed to making sure our products aren't just intuitive, they're obvious What You'll Be Doing Design and build advanced applications and features for the Android platform Integrate with cloud APIs and local device communication protocols to control smart devices Write and maintain tests using frameworks such as JUnit and Espresso Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code Debug, profile, and optimize app performance across a range of Android devices Participate in design and code reviews, helping elevate code quality across the team Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them Contribute to roadmap planning, technical design, and release delivery We're Excited If You Have Professional Android development experience, ideally with Kotlin and/or Compose Strong experience shipping and maintaining production apps in the Play Store Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Experience working with IoT or networked device interactions is a big plus Familiarity with BLE, webs sockets, or MQTT protocols is a bonus Experience collaborating with cross-functional teams in agile environments Proficient in the Android development toolset Strong understanding of Android architecture, UI/UX patterns, and app lifecycle Excellent communication and debugging skills Bachelor's or Master's/PHD in Computer Science or related technical field Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Apr 03, 2026
Full time
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Apr 03, 2026
Full time
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage