Senior Forecasting Modeller
Job Summary
Were on a mission to make money work for everyone.
Were 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 aspersonal 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 andcombine 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!
Were not about selling products - we want to solve problems and change lives through Monzo
London 78000 to 95000 Incentive Awards tied to your performance BenefitsData Team Borrowing
Our Capital Impairments & Forecasting Team
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.
Strong data and analytical skills are a must as is experience in credit risk modelling. Prior experience developing credit risk forecasting models is desirable but relevant model development / validation experience in IRB modelling IFRS9 or scorecard models will also be considered. Experience as a model user of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
- Google Cloud Platform for all of our analytics infrastructure
- dbt and BigQuery SQL for our data modelling and warehousing
- Python for data science and predictive modelling model implementation and data visualisation (via streamlit)
- Github for version control
Your day-to-day 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
- Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
- Presenting forecast model results to senior management
- Close collaboration with portfolio strategy model validation finance and external audit teams
You should apply if:
- You have a background in forecast modelling or execution
- You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
- You have strong analytical skills and a track record of using these to deliver technical projects
- You have a 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
- You can convey problems and solutions using clear and simple language both written and verbal (see Monzos tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
- Youre impact driven and eager to have a real positive impact on the company our products our users and your team-mates
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
- Youre a team player whom your colleagues can rely on
The Interview Process:
Our interview process involves 4 main stages:
- Initial call with a member of the Forecasting team
- Technical modelling interview
- Values and collaboration behavioural interview
- A live case study problem solving interview
Our average process takes around 3-4 weeks but we will always work around your availability.
Whats in it for you:
78000 to 95000 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
We offer 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 1000 a year for books training courses and conferences
And much more see our full list of benefitshere
#LI-LG1 #LI-Remote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.
Were 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 neurodiversity or disability status.
If you have a preferred name please use it to apply. We dont need full or birth names at application stage
Required Experience:
Senior IC
About Company
Organise, save & invest with a free UK current account, joint account or business account. Make your money more Monzo.