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About the Role

As a Lead Machine Learning Scientist on the Financial Crime Data team, you will be responsible for building and iterating on financial crime defensive capabilities to ensure the safety of Monzo and its customers. This role involves working with billions of rows of data on a modern cloud-native data platform, leveraging deep experience in developing and deploying advanced Machine Learning models to detect suspicious user behaviors, minimize impact to genuine customers, and adapt to evolving fraud trends.

Responsibilities

Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time
Provide technical leadership and ship highly impactful ML-based solutions
Work with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning
Lead the design and development of advanced real time Machine Learning models, exploring neural network, graph-based, and sequence-based architectures
Provide technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others
Work closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle

Requirements

Multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company
Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
Impact driven and excited to own the end-to-end journey from business problem to measurable production impact
Self-starter mindset; proactively identify issues and opportunities and tackle them
Extensive experience writing production Python code and a strong command of SQL
Comfortable using Python and SQL daily
Keen to learn Go lang
Comfortable working in a team that deals with ambiguity and experience helping teams and stakeholders resolve ambiguity
Product mindset: care about customer outcomes and make data-informed decisions
Adaptable, curious and enjoy learning new technologies and ideas

Skills

Machine Learning
Deep Learning
Graph-based ML architectures
Sequence-based ML architectures
Python
SQL
Go lang
MLOps

Location

London
Cardiff
UK Remote

Work Type

Remote
Distributed working within the UK
Flexible working hours
Part-time

Experience Level

Lead
Senior

Salary/Compensations

£115,000 - £150,000
Incentive Awards tied to performance

Benefits

Relocation assistance to the UK
Visa sponsorship
Learning budget of £1,000 a year for training courses and conferences
Flexible working hours
Trust to work enough hours to do your job well, at times that suit you and your team
Opportunity to work part-time

About the Company

Monzo is on a mission to make money work for everyone, moving away from traditional banking complexities.
Over the last 10 years in the UK, Monzo has grown from a prepaid card to offering personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account, credit cards, savings, investments, and pensions.
Monzo is known for its hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service.
The company focuses on solving problems and changing lives through its products.
The Financial Crime Data team consists of over 25 people across Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists.
The work of the financial crime team has a large impact on Monzo's bottom line, customer experience, and is crucial for keeping customers safe.

Equal Opportunity

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.
Monzo is embracing diversity by fostering an inclusive environment for all people to do the best work of their lives.