Senior Lead Machine Learning Scientist, Monzo
£140-175k
Plus stocks
More information about location
Digital-only bank platform and marketplace
Job no longer available
Digital-only bank platform and marketplace
1001+ employees
Job no longer available
£140-175k
Plus stocks
More information about location
1001+ employees
Company mission
To build a new kind of bank that makes money work for everyone.
Role
Who you are
- You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
- You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
- You have experience in, and a passion for, mentoring other ML practitioners, 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 being told to do so
- Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
- You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
- You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
- You want to be involved in building a product that you (and the people you know) use every day
- You have a product mindset: you care about customer outcomes and you want to make data-informed decisions
- You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
- You’re adaptable, curious and enjoy learning new technologies and ideas
What the job involves
- At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics
- Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling
- As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist
- This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems
- We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level
- As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development
- You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment
- You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads
- You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards
- Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning
- Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures
- Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others
- Working 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
Application process
- Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter call
- 45 minute call with hiring manager
- 4 x 1-hour video calls with various team members
- Our average process takes around 3-4 weeks but we will always work around your availability
- You will have the chance to speak to our recruitment team at various points during your process
Salary benchmarks
Our take
Monzo is a challenger bank that fully operates online and offers a full range of current, savings, business accounts, and more. The speed of the challenger banks to provide a great experience has been impressive, and the number of competitors appearing has proven the consumer desire for innovation.
Monzo remains one of the popular online banks, with more than 6 million customer active users. The company faces competition as more traditional banks, such as Goldman Sachs and JP Morgan, have launched their own digital banks. However, the new technologies that the company is built on enable it to expand quickly (with fewer issues) than the incumbent players' offerings.
With an increasing amount of people switching banks, the company's ever-expanding suite of banking and financial services (such as its buy-now-pay-later offering) has resulted in Monzo receiving the second-highest net switching gains among digital challenger banks (just behind Starling).
After setting U.S. expansion plans aside in 2020, the company launched in the U.S. market in early 2022, partnering with Sutton Bank to provide its U.S. accounts. After several years focused on narrowing its losses, Monzo hit profitability in the first two months of 2023. In the same year, 2 million new customers joined, tallying its customer base at 9 million in 2024.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
42% female employees
19% employee growth in 12 months
Company
Funding (last 2 of 18 rounds)
May 2024
$190m
LATE VC
Mar 2024
$430.6m
LATE VC
Total funding: $1.9bn
Company benefits
- Yearly Salary Review + Proactive pay increases to reflect growing responsibilities + Share options
- Flexible working hours
- Work From Home Opportunities + we'll pay for any equipment you need to do your job
- 24 days holiday a year, plus bank holidays
- Paid sick leave for both physical & mental health + Health insurance via AXA or Vitality + Additional health insurance through Medicash
- Employee Assistance Programme
- Learning budget of £1,000 a year
- Aviva Pension Scheme + 4% Employer Contribution
- Paid maternity, paternity, adoption or shared parental leave (after 13 weeks of employment)
- 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
- 3 months of secondary caregiver leave at 100% pay
- Unum Life Insurance
- Access to fertility and family-forming health benefits via Fertifa
- Abellio Season Travel Tickets + Cycle-to-Work Scheme
Company values
- Be hard on problems, not people 🙌 We create supportive communities to help people thrive.
- Make a difference 🚀 We solve real problems, working on things that have the biggest impact for our customers and each other.
- Help everyone belong 🤗 We’re building a bank for everyone. We embrace differences and make sure everyone feels welcome.
- Think customer first; grow Monzo safely 🥕 We always do what's best for customers. It's the right thing to do and the safest way to grow.
- Default to transparency 🎤 We’re open with each other and customers unless we have good reason not to be.
- Think big, start small, own it 🌲 We’re ambitious and shoot for the moon, working iteratively to get the best results.
Company HQ
City of London, London, UK
Articles
Leadership
Jonas Templestein
(CTO)Founder of HipDial. Former Software Engineer at Starling Bank.
People progressing
Joined in the Customer Operations team. Moved to be a Financial Crime Analyst after 5 months. Then moved again to be a Business Analyst after 2.5 years. Currently working as a Senior Product Manager.
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