Overview
Join us in our mission to make money work for everyone. We’re transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products.
Location: London/Cardiff/UK Remote | Salary: £86,000-105,000 + Benefits
About Us
We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets.
Role
Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy.
Responsibilities
- Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap.
- Own several ML applications from experiment design to deployment and monitoring.
- Decide on impactful topics across Borrowing products and deliver solutions.
Technology Stack
Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude.
You Should Apply If
- You are result-oriented, motivated by the impact on customers and the business.
- You thrive in a fast-paced environment with significant autonomy.
- You’re eager to expand your knowledge in both business and technology.
Must Have
- Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices.
- Deep knowledge of statistical and machine learning models—gradient boosted trees, logistic regression, neural networks, survival analysis, etc.
- Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap.
- Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry.
- Strong attention to detail while maintaining an understanding of the larger picture.
- Excellent communication skills to articulate complex problems.
- Ability to build mutual respect and trust among diverse teams.
Nice to Have
- Experience in UK/EU retail lending for personal/business customers.
- Knowledge of ML model governance in a regulated industry.
- Experience using modern AI tools to enhance productivity.
The Interview Process
Our interview process includes:
- 30-minute Recruiter Call
- 45-minute Initial Call
- 60-minute ML Technical Skill Interview
- 60-minute Behavioral Interview
- All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability.
What’s in It for You
- £86,000 to £105,000 plus stock options and benefits.
- We can assist with relocation to the UK and provide visa sponsorship.
- This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London.
- We support your home office setup, providing Macbooks and additional resources for remote workers.
- Enjoy flexible working hours tailored to suit you and your team’s needs.
- A learning budget of £1,000 annually for books, training courses, and conferences.
- And much more, inquire about our full benefits package.
Equal Opportunities
Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply.
If you prefer a specific name, please include it in your application; full or birth names aren’t necessary at this stage.
Company
Monzo
Qualifications
Language requirements
Specific requirements
Educational level
Level of experience (years)
Senior (5+ years of experience)
Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
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