Senior Machine Learning Manager Financial Crime
Senior Machine Learning Manager Financial Crime
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Job Description
Were on a mission to work for everyone.
Were 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 aspersonal and business bank accounts we offer joint accounts accounts for 1617 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 getpaidearly 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!
Were not about selling products we want to solve problems and change lives through Monzo
London or Remote UKBenefits Hear from the team
Our Fincrime Machine Learning Team
Fincrime Machine Learning is the largest ML team within Monzo: our mission is to build financial crime defensive capabilities to keep Monzo and our customers safe.
At Monzo Machine Learning Scientists have ownership across the entire ML lifecycle from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics.
Our work in Fincrime has a directly measurable impact on both customers and the company. We have a duty to keep customers safe and financial crime prevention has a strong impact on the customer experience. Additionally preventing financial crime is crucial to Monzos bottom line as fraud and scams are usually some of the largest cost line items in a banks Profit and Loss.
Our Machine Learning Scientists collaborate in crossfunctional squads across Data Engineering Product and Risk tackling a broad range of issues including fraud detection and prevention transaction monitoring for various suspicious activities customer risk assessment and operational tooling.
Youll play a key role by...
- You will head up machine learning for the whole Financial Crime domain at Monzo helping us to build up the vision strategy and team of machine learning experts for this area.
- Youll work across interdisciplinary squads with Product Managers Engineers and other Data colleagues (Data Analysts Data Scientists Analytics Engineers) to ensure were pursuing the most impactful machine learning opportunities and tackling them with pragmatic iterative and highquality systems.
- You will lead the design build and delivery of machine learning systems working at the intersection of Data Product and Engineering and ensuring that all systems we build are safe and appropriately validated.
- You will support coach and develop high performing Machine Learning Scientists through regular 1:1s continuous feedback and fostering relationships with other leaders at Monzo.
- As the manager of the largest ML team in Monzo you will coordinate with other Machine Learning and Platform teams to ensure Machine Learning at Monzo follows industry best practices and adopts the best tools to achieve good performance and maintain high productivity.
- You will contribute to best practices: helping us become an exceptional place to work for ambitious highly motivated people.
- Youll play a key role in scaling the impact of machine learning across Monzo: empowering Machine Learning Scientists to work across the endtoend lifecycle of their models including shipping the models they train into production and contributing to how we define and build our workflows and tooling as we scale our discipline.
You should apply if
- You have experience managing teams of 5 or more highperforming Machine Learning professionals and owning Machine Learning systems in production.
- You understand how ML systems work how they should be designed based on the business problem they solve and can communicate this to technical and nontechnical people.
- You have experience collaborating with senior business stakeholders and product teams to implement ML systems.
- You know what makes a highperforming team and know how to get there. You care deeply about helping others achieve their goals and become the best Machine Learning Scientists they can be.
- You have an empathetic leadership style and you build strong effective relationships.
Whats in it for you
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Well help you relocate to the UK
We can sponsor your visa
This role can be based in our London or Cardiff offices but were open to distributed working within the UK (with ad hoc meetings in London)
We offer flexible working hours and trust you to work enough hours to do your job well and at times that suit you and your team.
1000 learning budget each year to use on books training courses and conferences.
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 workfromhome setup.
Plus lots more! Read our full list of benefits.
The application journey has 3 key steps:
- Recruiter Call
- 45 minute call with the hiring manager
- 4 x 1 hour interviews with various team members
Our average process takes around 23 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 also use that email to let us know if theres anything we can do to make your application process easier for you because of disability neurodiversity or any other personal reason.
#LIREMOTE #LINJ1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were 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 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.
Were 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 dont need full or birth names at application stage
Required Experience:
Manager
Employment Type
Full Time
