Senior Machine Learning Manager, Borrowing

Senior Machine Learning Manager, Borrowing

Senior Machine Learning Manager, Borrowing (Worldwide Remote)

Imagine a world where money truly works for everyone, not against them. That's the ambitious mission Monzo has been on for nearly a decade. We've said goodbye to the old ways of banking, building an intuitive, human friendly platform that genuinely solves problems. From our iconic hot coral cards to features like getting paid early, we're not just selling products; we're crafting magical moments and changing lives. Now, we're looking for a visionary leader to drive one of our most crucial growth engines: Borrowing. If you're passionate about leveraging machine learning to make a real impact, helping our customers manage their finances better, and shaping the future of financial services on a global scale, then this could be your next big adventure.

Overview

Monzo is redefining banking. We’ve grown significantly in the UK, offering a range of personal and business financial products, from joint accounts to credit cards, and even savings and investments. The Borrowing division is absolutely vital to our continued expansion and impact. This role offers you the chance to lead a talented team of Machine Learning specialists, pushing the boundaries of what’s possible in lending. You will be instrumental in developing innovative strategies, building robust models, and scaling our borrowing products to new customer segments and markets. This is a fully remote, worldwide opportunity, allowing you to contribute to our mission from anywhere in the world.

Key Responsibilities

  • Lead and mentor a team of high performing Machine Learning Engineers and Scientists.
  • Define and execute the ML strategy for Monzo’s borrowing products, aligning with overall business goals.
  • Drive the development, deployment, and monitoring of advanced machine learning models for credit risk, fraud detection, affordability assessments, and personalized lending.
  • Collaborate closely with product managers, engineers, data scientists, and risk teams to integrate ML solutions seamlessly into our products.
  • Ensure the ethical and responsible application of ML, maintaining fairness and transparency in all decisions.
  • Foster a culture of continuous improvement, innovation, and technical excellence within the team.
  • Communicate complex technical concepts and strategic directions effectively to both technical and non technical stakeholders.

Requirements

  • Significant experience in a leadership role within Machine Learning, ideally in a regulated financial services environment or a fast growing tech company.
  • Deep expertise in machine learning principles, algorithms, and best practices, with a strong understanding of their application in credit risk, lending, or similar domains.
  • Proven track record of building, deploying, and managing production grade ML systems at scale.
  • Exceptional ability to lead, inspire, and develop a team of highly skilled ML professionals.
  • Strong strategic thinking with the ability to translate business objectives into actionable ML initiatives.
  • Excellent communication skills, capable of influencing senior stakeholders and simplifying complex technical information.
  • Proficiency in relevant programming languages (e.g., Python) and ML frameworks.
  • A genuine passion for Monzo’s mission to make money work for everyone.

What You'll Gain

  • The chance to lead a critical function at one of the UK’s most innovative and beloved fintech companies.
  • Significant influence over the strategy and direction of Monzo’s borrowing products, impacting millions of customers globally.
  • An environment that champions personal and professional growth, with opportunities for continuous learning and development.
  • Work alongside a diverse, collaborative, and incredibly talented team who are passionate about making a difference.
  • Competitive salary between £138,000 and £176,000, complemented by performance linked incentive awards and a comprehensive benefits package designed to support your wellbeing.
  • The flexibility and freedom of a fully remote, worldwide work setup.

How to Apply

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