IAM Jobs in Cardiff.
All active IAM roles based in Cardiff.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
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 ❤️
📍London | UK remote | 💰 £100,000 to £160,000 (dependent on level) + Benefits | Hear from the team
About us:
At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance.
Our range of borrowing products serve the important needs of our customers and are critical to Monzo’s mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.
About the role:
The mission of Borrowing Machine Learning 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 taking a hands-on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.
With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.
Our technology stack
We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):
- Google Cloud Platform for all of our analytics usages
- BigQuery SQL and dbt for our data modelling and warehousing
- PyData stack for model development and offline deployment
- Google AI platform for cloud computing
- AWS for backend infrastructure
- Python for ML model microservices
- Go lang for most other microservices
- 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 thrive in a fast-paced environment and comfortable with frequent context switching
- You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
- You want to build trust and influence a diverse range of leaders and stakeholders
- You like inspiring people around you, with innovative thinking and high standard execution
You must have:
- Excellent technical skills in Python, SQL, and statistics
- Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
- Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
- Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
- Experience of mentoring and coaching senior ICs
- Previous experience of managing data and model governance in a regulated business
The Interview Process
- 30’ Recruiter Call
- 45’ Initial Call
- 60’ ML technical skill interview
- 60’ People Leadership interview
- 60’ Product ML interview
- 60’ Project deep dive
All interviews will be conducted through Google Meet.
What’s in it for you:
💰 £100,000 to £160,000 ➕ & benefits
✈️ 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 travel 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 😊
Ready to apply?
Apply to Monzo
GIS Product Engineer II – ArcGIS Maps SDKs for Native Apps
Share this job
Overview
Bring your enthusiasm and talents to Esri, creating industry leading ArcGIS products. The ArcGIS Maps SDKs allow developers to build modern mapping applications for mobile and desktop platforms, with 2D and 3D data visualisation, and online or offline access. This is a fantastic opportunity to join the product development team and support the delivery of regular, high-quality releases in a collaborative and dynamic environment.
Help us improve our cross-platform GIS software libraries, built on the latest compilers and C++ standards, and create sample apps, developer documentation, and developer outreach.
Esri has a Relocation Assistance Program and can provide support with relocating to the Cardiff area for this position. Check out more details of the Esri R&D Center – Cardiff!
Responsibilities
- Apply curious, independent thought, and attention to detail to explore and understand the challenges that ArcGIS users face and provide usable, informative feedback on user experience
- Understand the customer, who are software developers, gathering requirements and use cases that translate into actionable code and doc improvements
- Build rich and varied GIS datasets and maps, sample applications and articles that can be used to highlight product capabilities, explain APIs and guide user (developer) practices
- Work with your development team, and teams across Esri, to design, create, and validate the newest datasets and GIS workflows to support field mapping, data collection, spatial analysis and verify the functionality meets user workflows and is consistent with Esri ecosystem
- Describe GIS best practices and demonstrate how to apply these GIS workflows in internal team meetings, on product forums and websites, with customers, at Esri events, or in publications like the ArcGIS Blog
- Document technical topics and concepts, and produce developer-focused product documentation
- Learn about and collaborate in SDK environments (such as Kotlin, Qt, C#, Swift, Flutter, Python), to explore issues, investigate problems, and design and prototype enhancements
- Build focused test code to represent complex situations for investigation and regression testing
- Administer, automate, and manage online and database GIS systems and services to support the development of new product features and ongoing product releases
Requirements
- 2+ years of GIS experience (such as modeling, analyzing, or presenting geospatial data in a scientific, engineering, governmental, or post graduate academic environment)
- Proficiency with mapping, spatial data or GIS platforms such as ArcGIS or QGIS
- Strong problem-solving and analytic skills
- Proven initiative and creativity to find ways to explore, investigate, test and validate software behavior
- Excellent communication and team collaboration skills
- Experience of, and interest in, scripting or coding to appreciate our developer users' challenges and to communicate effectively with the development team
- Bachelor’s degree in GIS, geography, computer science, engineering, or related field
- Existing work authorisation for the United Kingdom
Recommended Qualifications
- Experience and passion for working with cartography, mapping or geospatial data
- Interest in or knowledge of layout, typography, and fonts for international text
- Proven experience of user communication and education such as having been responsible for product documentation, blogs, written or video tutorials, presentations
- Familiarity using version control systems such as Git, for documentation and code
- Familiarity with some of the scripting or coding languages which our SDKs target, and which we use for automation, such as using Kotlin, Qt, .Net, Swift, Flutter, Typescript or Python
- Master’s degree in GIS, computer science, engineering, or related field
Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is £37,080 - £58,092.
#LI-EL1
#LI-Onsite
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Senior Machine Learning Scientist, Borrowing
Share this job
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
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 ❤️
📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨
About us:
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.
Our technology stack
We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):
- Google Cloud Platform for all of our analytics usages
- BigQuery SQL and dbt for our data modelling and warehousing
- PyData stack for model development and offline deployment
- Google Vertex AI platform for cloud computing
- AWS for backend infrastructure
- Python for ML model microservices
- Go lang for most other microservices
- 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:
- 30’ Recruiter Call
- 45’ Initial Call
- 60’ ML technical skill interview
- 60’ Behavioural interview
All interviews will be conducted through Google Meet.
What’s in it for you:
💰 £86,000 to £105,000 ➕ plus stock options & benefits
✈️ 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
#LI-DC2 #LI-Remote
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 😊
Ready to apply?
Apply to Monzo
Whoa — hold up
JobsRadar was built for real people having a rough time in their job search — not for automated requests. You're clicking way too fast and you're now temporarily blocked.
Come back later. If you're genuinely job hunting, we've got your back — just act like a human.