Senior Machine Learning Scientist, FinCrime
Cardiff, London or Remote (UK)
Monzo is a modern banking company that aims to simplify financial services and empower customers. This role focuses on combating financial crime through advanced machine learning techniques.
You’ll play a key role by:
This role is part of a multidisciplinary squad, collaborating with Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for:
- Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs.
- Adapting quickly to changing fraud and financial crime trends, ensuring detection systems remain performant over time.
- Designing ML solutions that scale globally.
You should apply if:
What we’re doing here excites you:
- You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‑moving tech company.
- You are impact driven and excited to own the end‑to‑end journey from business problem to production solution with measurable impact.
- You have a passion for sharing knowledge and raising the technical bar across the team.
- You have a self‑starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without direction.
- Using advanced ML techniques to keep Monzo’s customers safe, even if their card, phone or account is compromised, sounds exciting to you.
- You have extensive experience writing production Python code and a strong command of SQL, and you are keen to learn Go, which is used in many backend microservices.
- You have experience developing and shipping deep learning, graph‑based, or sequence‑based ML architectures to production and delivering business impact.
- You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve ambiguity.
- You have strong communication skills and can explain complex technical concepts to non‑technical stakeholders.
- You want to be involved in building a product that you and the people you know use every day, prioritising customer outcomes and data‑informed decisions.
- You are excited about fast‑moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain.
- You are adaptable, curious, and enjoy learning new technologies and ideas.
Nice to haves:
- Experience supporting your team in shaping the ML strategy of your area.
- Experience working with financial crime, operations, and regulated institutions.
- Commercial experience writing critical production code and working with microservices.
- Experience evaluating ML models in live environments such as through A/B tests.
Benefits
- Competitive salary range of £93,000 – £120,000 plus incentive awards tied to performance.
- Relocation support to the UK and visa sponsorship available.
- Flexible working hours and trust to work at times that suit your team.
- £1,000 annual learning budget for books, training courses, and conferences.
- Work‑from‑home support, including a MacBook for all employees and additional setup assistance for fully remote workers.
- Opportunities to contribute to a product used by millions of people worldwide.
Equal opportunities for everyone
We are 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, veteran, neurodiversity or disability status.
We welcome and encourage diversity and inclusion, and we are committed to creating an accessible and inclusive environment for all people to thrive and grow with us.
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