Lead Machine Learning Scientist, FinCrime

Monzo Bank

Lead Machine Learning Scientist developing ML models to tackle financial crime at Monzo. Collaborating with cross-functional teams to enhance fraud detection and prevention capabilities.

Posted 7/8/2026full-timeRemote • 🇬🇧 United KingdomSenior💰 £115,000 - £150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced Machine Learning models, with a strong focus on deep learning, graph-based, and sequence-based architectures. Proven ability to lead cross-functional teams and communicate complex technical concepts effectively to diverse audiences.

Highest-signal resume keywords

Machine Learning Model DevelopmentDeep Learning ArchitectureGraph-Based ML SolutionsPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGraph-Based ArchitecturesSequence-Based ArchitecturesPythonSQL

Soft Skills

Team CollaborationCommunication

Industry Keywords

Financial CrimeFraud Detection

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide technical leadership and ship impactful ML-based solutions
Collaborate with cross-functional product squads including product managers, data scientists, and engineers
Design and develop advanced real-time Machine Learning models
Identify and scope impactful opportunities to tackle Financial Crime and Fraud

Requirements

What you’ll need

Multiple years of experience leading the development and deployment of advanced Machine Learning models
Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures
Strong coding skills in Python and SQL
Ability to work in a team dealing with ambiguity
Comfortable communicating technical ideas to non-experts

Benefits

Comp & perks

Learning budget of £1,000 a year for training courses and conferences
Flexible working hours
Relocation assistance to the UK
Visa sponsorship for international candidates
Opportunity for part-time work if preferred