At a Glance
- Tasks: Enhance customer outcomes using Machine Learning and statistical modelling in a dynamic environment.
- Company: Join Monzo, a transformative banking company focused on accessibility and innovation.
- Benefits: Competitive salary, stock options, flexible hours, and a £1,000 learning budget.
- Other info: Diverse and inclusive workplace with opportunities for growth and relocation support.
- Why this job: Make a real impact on financial products while innovating with cutting-edge technology.
- Qualifications: 5+ years in ML, strong SQL and Python skills, and experience in automated decision-making.
Join us in our mission to make money work for everyone. We’re transforming traditional banking into something simple and accessible. Our product suite has expanded significantly in the UK over the last decade, offering personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards. Our UK customers can also save, invest, and manage their pensions with 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.
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.
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
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.
Senior Machine Learning Scientist, Borrowing employer: NLP PEOPLE
At Monzo, we are committed to transforming banking into a simple and accessible experience for everyone, making us an exceptional employer in the financial technology sector. Our vibrant work culture fosters innovation and collaboration, offering employees the autonomy to drive impactful projects while enjoying flexible working arrangements and a generous learning budget. With opportunities for professional growth and a focus on diversity and inclusion, Monzo is the ideal place for those looking to make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist, Borrowing
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like NLP PEOPLE. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Machine Learning Scientist, Borrowing
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to NLP PEOPLE.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on NLP PEOPLE's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at NLP PEOPLE
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with NLP PEOPLE.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at NLP PEOPLE will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former NLP PEOPLE employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
