At a Glance
- Tasks: Develop and enhance forecasting models to support strategic decisions.
- Company: Join a mission-driven fintech revolutionising banking for everyone.
- Benefits: Competitive salary, performance incentives, flexible hours, and a £1,000 learning budget.
- Why this job: Make a real impact on financial products and help shape the future of banking.
- Qualifications: Experience in forecasting models, strong analytical skills, and proficiency in SQL or Python.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
The predicted salary is between 78000 - 95000 £ per year.
We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16‑17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get‑paid‑early feature, combined with financial education on social media and our award‑winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products – we want to solve problems and change lives through Monzo.
About the role: London | £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk. Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products. Additionally, the successful individual will have a key role in executing these models across high‑profile budgeting & stress‑test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.
Key responsibilities:
- Assist with continuous improvement of forecasting models via new developments or recalibrations.
- Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations.
- Further the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements.
- Present forecast model results to senior management.
- Close collaboration with portfolio strategy, model validation, finance and external audit teams.
Required skills and experience:
- Background in forecast modelling or execution.
- Relevant experience in the development and implementation of credit models (e.g., IFRS 9 / Forecasting / IRB).
- Strong analytical skills and a track record of using these to deliver technical projects.
- Solid technical toolkit.
- SQL and Python are our desired coding languages but experience in SAS/R will be considered.
- A data visualisation tool (such as Streamlit or Looker) is a plus.
- Can convey problems and solutions using clear and simple language, both written and verbal.
- Impact‑driven and eager to have a real positive impact on the company, our products, our users and your teammates.
- Self‑starter mindset; proactively identifies issues and opportunities and tackles them without being told to do so.
- Team player whom colleagues can rely on.
Helpful tools and technologies:
- Google Cloud Platform for all analytics infrastructure.
- dbt and BigQuery SQL for data modelling and warehousing.
- Python for data science and predictive modelling, model implementation and data visualisation (via Streamlit).
- GitHub for version control.
Interview process:
- Initial call with a member of the Forecasting team.
- Technical modelling interview.
- Values and collaboration behavioural interview.
- A live case study problem solving interview.
Benefits:
- £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits.
- London (one to two days a week).
- We can help you relocate to the UK.
- We can sponsor visas.
- Flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- Learning budget of £1,000 a year for books, training courses and conferences.
- And more, see our full list of benefits.
Equal opportunities for everyone:
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran status, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage.
Senior Forecasting Modeller employer: Monzo Bank
Contact Detail:
Monzo Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Forecasting Modeller
✨Tip Number 1
Get to know the company inside out! Research Monzo's mission, values, and recent developments. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice your technical skills before the interview. Brush up on your SQL and Python knowledge, and be ready to discuss how you've used these tools in past projects. We want to see your analytical prowess in action!
✨Tip Number 3
Prepare for the live case study by thinking through potential forecasting scenarios. Show us how you approach problem-solving and communicate complex ideas simply. This is your chance to shine!
✨Tip Number 4
Don’t forget to showcase your teamwork skills! We value collaboration, so share examples of how you've worked with others to achieve goals. It’s all about making a positive impact together!
We think you need these skills to ace Senior Forecasting Modeller
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Forecasting Modeller role. Highlight your experience in forecast modelling and credit models, and don’t forget to mention your skills in SQL and Python. We want to see how you can bring your unique flair to our team!
Show Off Your Analytical Skills: We love a good problem solver! In your application, share examples of how you've used your analytical skills to tackle complex projects. This is your chance to shine and show us how you can make a positive impact at Monzo.
Keep It Clear and Simple: When writing your application, remember to communicate your ideas clearly. Use straightforward language to explain your experience and how it relates to the role. We appreciate candidates who can convey complex concepts in a way that’s easy to understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Monzo Bank
✨Know Your Models Inside Out
Make sure you have a solid understanding of forecasting models, especially those related to IFRS 9 and credit risk. Be prepared to discuss your previous experiences with model development and execution, as well as any challenges you've faced and how you overcame them.
✨Brush Up on Your Technical Skills
Since SQL and Python are key languages for this role, ensure you're comfortable discussing your proficiency in these areas. Consider preparing a few examples of projects where you've used these skills effectively, particularly in data visualisation or predictive modelling.
✨Communicate Clearly and Confidently
You'll need to present complex information to senior management and non-experts alike. Practice explaining your work in simple terms, focusing on the impact of your models and findings. This will show that you can bridge the gap between technical details and strategic decision-making.
✨Show Your Team Spirit
Collaboration is key in this role, so be ready to share examples of how you've worked effectively within a team. Highlight your self-starter mindset and how you've proactively identified issues or opportunities in past projects, demonstrating that you're someone colleagues can rely on.